Farming Assistance Web Service

Data mining, Networking, Parallel And Distributed System, Web Application
Name Farming Assistance Web Service Technology DotNET,MS SQL Category Web Application Description A Web project to help farmers ensure greater profitability through direct farmer to supplier and farmer to farmer communication. This service boosts business communication and brings transparency in the system. This innovative site allows for good farmer, retailer and supplier communication. It allows farmers to login and communicate to respective dealers. When dealers publish an advertisement or offer, the respective farmers get notified via Sms message. The farmers may also submit their greviences and complaints to respective dealers or authorities using their farmer login on a separate complaints page and authorities will get acess to that page regularly using their login id and passwords. IEEE Paper Yes IEEE Paper Year 2015
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Smart Health Consulting Project

Data mining, Networking, Web Application
Name Smart Health Consulting Project Technology DotNET,MS SQL Category Web Application Description This system aims at maintaining patient health records and even getting appointments from various doctors for related treatments. The system user must register as a member of this system and keep updating his medical history. Patients can then select from a list of specialized doctors for respective treatments such as (skin specialist, ENT specialist cardiologist etc) at particular locations. Patients may also select suitable appointment timings for their meeting. This Project contains 7 useful areas: i. General User area ii. Doctor’s area iii. Patient’s area iv. Transaction/Blling area v. Administrator area vi. Pharmacy area vii. Insurance area IEEE Paper Yes IEEE Paper Year 2015
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Artificial Intelligence Dietician

Data mining, Parallel And Distributed System, Web Application
Name Artificial Intelligence Dietician Technology DotNET,MS SQL Category Web Application Description The online artificial dietician is a bot with artificial intelligence about human diets. It acts as a diet consultant similar to a real dietician. Dieticians are educated with nutrient value of foods. A dietician consults a person based on his schedule, body type, height and weight. The system too asks all this data from the user and processes it. It asks about how many hour the user works, his height, weight, age etc. The system stores and processes this data and then calculates the nutrient value needed to fill up users needs. The system then shows an appropriate diet to the users and asks if user is ok with it, else it shows other alternate diets to fill up…
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Web Server to Client communication for web usage data analysis

Multimedia, Networking, Parallel And Distributed System, Web Application
Name Web Server to Client communication for web usage data analysis Technology DotNET,MS SQL Category Web Application Description We usually come across fields where web data proves very important for business as well as security analysis. Ecommerce as well as website usage data is of prime importance these days. Our proposed project puts for ward a system that allows a web server to record web data analytics of web usage patterns of various web links. The system is configured to record web page clicks, seo score computed as per a search engine ranking algorithm as well as other parameters associated with the each web page. The server has an inbuilt configuration logic required to scan live web pages similar to crawlers and then record/store that data for later processing. Since…
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Customer Behaviour Prediction Using Web Usage Mining

Cloud Computing, Data mining, Networking, Parallel And Distributed System, Web Application
Name Customer Behaviour Prediction Using Web Usage Mining Technology DotNET,MS SQL Category Web Application Description Web usage mining involves first recording behavior and flow of customers on a website and then mining through this data for behavioural patterns. It is an important part of ecommerce world that allows websites to go through previously recorded web traffic data. Ecommerce sites analyse this data in order to provide better performance and also suggest better products and services to customers by identifying them next time. The system is tuned to record web shopping/buying patterns and track various analytics data that tend to provide future prediction statistics. The system scans for user budget tracking, tallying to previous years, user bounce rates- number of users returning from payment page and other site usage factors. Factors…
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Web Mining For Suspicious Keyword Prominence

Cloud Computing, Data mining, Web Application
Name Web Mining For Suspicious Keyword Prominence Technology DotNET,MS SQL Category Web Application Description Web mining can be termed as an information mining method to naturally search, collect and organize data from indexed online records which might be in various organized, unstructured or semi-organized structure. We usually use web mining techniques in order to assess the viability of a specific web page/entity in order to figure out various factors related to it. This project consolidates the best researched mechanisms from the semantic web and synaptic web at low entropy in order to build structural engineering of Semantic-Synaptic web mining. Our proposed project aims at web mining for finding out density of selected keywords in order to check its keyword prominence on those web pages. This is an important factor in…
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Credit Card Fraud Detection

Cloud Computing, Security & Encryption, Web Application
Name Credit Card Fraud Detection Technology DotNET,MS SQL Category Web Application Description The credit card fraud detection features uses user behavior and location scanning to check for unusual patterns. These patterns include user characteristics such as user spending patterns as well as usual user geographic locations to verify his identity. If any unusual pattern is detected, the system requires revivification. The system analyses user credit card data for various characteristics. These characteristics include user country, usual spending procedures. Based upon previous data of that user the system recognizes unusual patterns in the payment procedure. So now the system may require the user to login again or even block the user for more than 3 invalid attempts. IEEE Paper Yes IEEE Paper Year 2015
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Active Chat Monitoring and Suspicious Chat Detection over Internet

Data mining, Security & Encryption, Web Application
Name Active Chat Monitoring and Suspicious Chat Detection over Internet Technology DotNET,MS SQL Category Web Application Description A lot of terrorist activities and groups communicate over apps and chat programs over the internet. They also use these chat application over the internet for getting their message to young generation and making new terrorists. Well we here propose a internet chat application that actively monitors various chats going on and also alerts the admin about any suspicious chat process taking place. The system is built to process all chats taking place over and saving them with history. The chat process is handled by server. As data passes through server it continuously scans it for any suspicious keywords. The admin may however keep a watch at any chat he desires. A special…
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Criminal Investigation Tracker with Suspect Prediction

Data mining, Multimedia, Networking, Web Application
Name Criminal Investigation Tracker with Suspect Prediction Technology DotNET,MS SQL Category Web Application Description We here propose a criminal investigation tracker system that tracks the investigation status of criminal cases with logs and also predicts primary suspects. The system is proposed to help agencies like CBI, CID and other such bureau’s to sped up investigation process and track status of multiple cases at a time. The system keeps logs of a case which includes case summary, people involved, disputes, past criminal history of those involved, Items recovered on scene and other details. The system realizes the type of case, allows admin to update the status of investigation, upload more images of crime, items found on scene etc. This allows authorized officers to check case status and look into its status…
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Opinion Mining For Social Networking Site

Data mining, Parallel And Distributed System, Web Application
Name Opinion Mining For Social Networking Site Technology DotNET,MS SQL Category Web Application Description This system uses opinion mining methodology in order to achieve desired functionality. Opinion Mining for Social Networking Site is a web application. Here the user will post his views related to some subject other users will view this post and will comment on this post. The System takes comments of various users, based on the opinion, system will specify whether the posted topic is good, bad, or worst. User can change his own profile picture and can update his status. These changes can be viewed by various users. We use a database of sentiment based keywords along with positivity or negativity weight in database and then based on these sentiment keywords mined in user comment is…
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Web Data Mining To Detect Online Spread Of Terrorism

Cloud Computing, Data mining, Networking, Parallel And Distributed System, Web Application
Name Web Data Mining To Detect Online Spread Of Terrorism Technology DotNET,MS SQL Category Web Application Description Terrorism has grown its roots quite deep in certain parts of the world. With increasing terrorist activities it has become important to curb terrorism and stop its spread before a certain time. So as identified internet is a major source of spreading terrorism through speeches and videos. Terrorist organizations use internet to brain wash individuals and also promote terrorist activities through provocative web pages that inspire helpless people to join terrorist organizations. So here we propose an efficient web data mining system to detect such web properties and flag them automatically for human review. Data mining is a technique used to mine out patterns of useful data from large data sets and make…
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Fake Product Review Monitoring And Removal For Genuine Online Product Reviews Using Opinion Mining

Data mining, Multimedia, Networking, Security & Encryption, Web Application
Name Fake Product Review Monitoring And Removal For Genuine Online Product Reviews Using Opinion Mining Technology DotNET,MS SQL Category Web Application Description As most of the people require review about a product before spending their money on the product. So people come across various reviews in the website but these reviews are genuine or fake is not identified by the user. In some review websites some good reviews are added by the product company people itself in order to make in order to produce false positive product reviews. They give good reviews for many different products manufactured by their own firm. User will not be able to find out whether the review is genuine or fake. To find out fake review in the website this “Fake Product Review Monitoring and…
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Movie Success Prediction Using Data Mining

Data mining, Multimedia, Networking, Web Application
Name Movie Success Prediction Using Data Mining Technology DotNET,MS SQL Category Web Application Description In this system we have developed a mathematical model for predicting the success class such as flop, hit, super hit of the movies. For doing this we have to develop a methodology in which the historical data of each component such as actor, actress, director, music that influences the success or failure of a movie is given is due to weight age and then based on multiple thresholds calculated on the basis of descriptive statistics of dataset of each component it is given class flop, hit, super hit label. Admin will add the film crew data. Admin will add movies data of a particular film crew. Admin will add new movie data along with film crew…
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Opinion Mining For Comment Sentiment Analysis

Cloud Computing, Data mining, Networking, Web Application
Name Opinion Mining For Comment Sentiment Analysis Technology DotNET,MS SQL Category Web Application Description Here we propose an advanced Comment Sentiment Analysis system that detects hidden sentiments in comments and rates the post accordingly. The system uses opinion mining methodology in order to achieve desired functionality. Opinion Mining for Comment Sentiment Analysis is a web application which gives review of the topic that is posted by the user. The System takes comments of various users, based on the opinion, system will specify whether the posted topic is good, bad, or worst. We use a database of sentiment based keywords along with positivity or negativity weight in database and then based on these sentiment keywords mined in user comment is ranked. Once the user logins to the system, user can view…
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Opinion Mining For Restaurant Reviews

Data mining, Networking, Parallel And Distributed System, Web Application
Name Opinion Mining For Restaurant Reviews Technology DotNET,MS SQL Category Web Application Description Here we propose an advanced Restaurant Review system that detects hidden sentiments in feedback of the customer and rates the restaurant accordingly. The system uses opinion mining methodology in order to achieve desired functionality. Opinion Mining for Restaurant Reviews is a web application which gives review of the feedback that is posted. The System takes feedback of various users, based on the opinion, system will specify whether the posted restaurant is good, bad, or worst. We use a database of sentiment based keywords along with positivity or negativity weight in database and then based on these sentiment keywords mined in user feedback is ranked. Once the user login to the system he views the restaurant and gives…
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Weather Forecasting Using Data Mining

Cloud Computing, Data mining, Multimedia, Networking, Web Application
Name Weather Forecasting Using Data Mining Technology DotNET,MS SQL Category Web Application Description Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location. Ancient weather forecasting methods usually relied on observed patterns of events, also termed pattern recognition. For example, it might be observed that if the sunset was particularly red, the following day often brought fair weather. However, not all of these predictions prove reliable. Here this system will predict weather based on parameters such as temperature, humidity and wind. This system is a web application with effective graphical user interface. User will login to the system using his user ID and password. User will enter current temperature; humidity and wind, System will take this parameter and will predict…
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Sentiment Analysis for Product Rating

Cloud Computing, Data mining, Networking, Parallel And Distributed System, Web Application
Name Sentiment Analysis for Product Rating Technology DotNET,MS SQL Category Web Application Description Here we propose an advanced Sentiment Analysis for Product Rating system that detects hidden sentiments in comments and rates the product accordingly. The system uses sentiment analysis methodology in order to achieve desired functionality. This project is an E-Commerce web application where the registered user will view the product and product features and will comment about the product. System will analyze the comments of various users and will rank product. We use a database of sentiment based keywords along with positivity or negativity weight in database and then based on these sentiment keywords mined in user comment is ranked. Comment will be analyzed by comparing the comment with the keywords stored in database. The System takes comments…
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Detecting E Banking Phishing Websites Using Associative Classification

Data mining, Multimedia, Networking, Security & Encryption, Web Application
Name Detecting E Banking Phishing Websites Using Associative Classification Technology DotNET,MS SQL Category Web Application Description There are number of users who purchase products online and make payment through e- banking. There are e- banking websites who ask user to provide sensitive data such as username, password or credit card details etc often for malicious reasons. This type of e-banking websites is known as phishing website. In order to detect and predict e-banking phishing website. We proposed an intelligent, flexible and effective system that is based on using classification Data mining algorithm. We implemented classification algorithm and techniques to extract the phishing data sets criteria to classify their legitimacy. The e-banking phishing website can be detected based on some important characteristics like URL and Domain Identity, and security and encryption…
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Content Summary Generation Using NLP

Data mining, Parallel And Distributed System, Web Application
Name Content Summary Generation Using NLP Technology DotNET,MS SQL Category Web Application Description To find prominent summarized points in a collection of documents. We here propose a system to detect summarized points from a huge or multiple paragraph. We use an efficient method to discover summarized points from the provided content using Natural language processing (NLP). The provided content is divided into two parts as Summarized Content and Summarized Point. One would expect particular words to appear in the content more or less frequently: “dog” and “bone” will appear more often in documents about dogs, “cat” and “meow” will appear in documents about cats, and “the” and “is” will appear equally in both. A document typically concerns multiple topics in different proportions; thus, in a document that is 10% about…
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Smart Health Prediction Using Data Mining

Data mining, Multimedia, Networking, Parallel And Distributed System, Web Application
Name Smart Health Prediction Using Data Mining Technology DotNET,MS SQL Category Web Application Description It might have happened so many times that you or someone yours need doctors help immediately, but they are not available due to some reason. The Health Prediction system is an end user support and online consultation project. Here we propose a system that allows users to get instant guidance on their health issues through an intelligent health care system online. The system is fed with various symptoms and the disease/illness associated with those systems. The system allows user to share their symptoms and issues. It then processes users symptoms to check for various illness that could be associated with it. Here we use some intelligent data mining techniques to guess the most accurate illness that…
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Student Grade Prediction Using C4.5 Decision Tree

Data mining, Multimedia, Networking, Web Application
Name Student Grade Prediction Using C4.5 Decision Tree Technology DotNET,MS SQL Category Web Application Description We here come up with a system where student final grade is predicted based on the marks he had scored during his previous course and years. In order to predict the grade of the student we need some data to analyze and to predict the grade. So we will input student basic information and their previous academic information into the system which will be used to predict the grade of the student. We here used an effective data mining algorithm to predict the result. We used C4.5 decision tree algorithm to predict the grade of the student.C4.5 is a program for inducing classification rules in the form of decision trees from a set of given…
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Image Character Recognition Using Signal & Pattern Analysis

Multimedia, Parallel And Distributed System, Web Application
Name Image Character Recognition Using Signal & Pattern Analysis Technology DotNET,MS SQL Category Web Application Description Optical character recognition is conversion of images of typed, handwritten or printed text into machine-encoded text from image. Here we come up with system where pattern of the image is extracted and image text is recognized using Optical character recognition in matlab. System will recognize the pattern and will detect the characters in image. And will display those characters as output. Since image can be scanned photos or other images. We applied image preprocessing steps in order to extract only text from image. Image patterns will be stored in another directory. The query image is compared with image patterns stored in database. If image matches with the pattern stored in directory, system will apply…
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Detecting Phishing Websites Using Machine Learning

Cloud Computing, Data mining, Parallel And Distributed System, Security & Encryption, Web Application
Name Detecting Phishing Websites Using Machine Learning Technology DotNET,MS SQL Category Web Application Description There are number of users who purchase products online and make payment through various websites.There are multiple websites who ask user to provide sensitive data such as username, password or credit card details etc. often for malicious reasons. This type of websites is known as phishing website. In order to detect and predict phishing website, we proposed an intelligent, flexible and effective system that is based on using classification Data mining algorithm. We implemented classification algorithm and techniques to extract the phishing data sets criteria to classify their legitimacy. The phishing website can be detected based on some important characteristics like URL and Domain Identity, and security and encryption criteria in the final phishing detection rate.…
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Sentiment Based Movie Rating System

Data mining, Networking, Web Application
Name Sentiment Based Movie Rating System Technology MsSql, Dot NET Category Web Application Description We usually come across movie rating websites where users are allowed to rate ad comment on movies online. These ratings are provided as input to the website rating system. The admin then checks reviews, critic’s ratings and displays an online rating for every movie. Here we propose an online system that automatically allows users to post reviews and stores them to rate movies based on user sentiments. The system now analyzes this data to check for user sentiments associated with each comment. Our system consists of a sentiment library designed for English as well as hindi sentiment analysis. The system breaks user comments to check for sentimental keywords and predicts user sentiment associated with it. Once…
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Heart Disease Prediction Project

Data mining, Multimedia, Web Application
Name Heart Disease Prediction Project Technology MsSql, Dot NET Category Web Application Description It might have happened so many times that you or someone yours need doctors help immediately, but they are not available due to some reason. The Heart Disease Prediction application is an end user support and online consultation project. Here, we propose a web application that allows users to get instant guidance on their heart disease through an intelligent system online. The application is fed with various details and the heart disease associated with those details. The application allows user to share their heart related issues. It then processes user specific details to check for various illness that could be associated with it. Here we use some intelligent data mining techniques to guess the most accurate illness…
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Topic Detection Using Keyword Clustering

Data mining, Networking, Parallel And Distributed System, Web Application
Name Topic Detection Using Keyword Clustering Technology MsSql, Dot NET Category Web Application Description To find prominent topic in a collection of documents. We here propose a system to detect topic from a collection of document. We use an efficient method to discover topic in a collection of documents known as topic model. A topic model is a type of statistical model for discovering topics from collection of documents. One would expect particular words to appear in the document more or less frequently: “dog” and “bone” will appear more often in documents about dogs, “cat” and “meow” will appear in documents about cats, and “the” and “is” will appear equally in both. A document typically concerns multiple topics in different proportions; thus, in a document that is 10% about cats…
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A New Hybrid Technique For Data Encryption

Networking, Security & Encryption, Web Application
Name A New Hybrid Technique For Data Encryption Technology MsSql, Dot NET Category Web Application Description Data encryption has been widely applied in many data processing areas. Various encryption algorithms have been developed for processing text documents, images, video, etc. If we are able to collaborate the advantages of the different existing encryption methods, then a new hybrid encryption method can be developed which offers better security and protection. So, in order to accomplish the Hybrid encryption technique, data encryption techniques using Fibonacci series, XOR logic, PN sequence are studied, analyzed and their performance is compared in this paper. The message is divided into three parts and these three different techniques are applied to these parts and the performance is again analyzed. The application of these three different methods to…
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Detecting Fraud Apps Using Sentiment Analysis

Data mining, Networking, Web Application
Name Detecting Fraud Apps Using Sentiment Analysis Technology MsSql, Dot NET Category Web Application Description Most of us use android and IOS Mobiles these days and also uses the play store or app store capability normally. Both the stores provide great number of application but unluckily few of those applications are fraud. Such applications dose damage to phone and also may be data thefts. Hence, such applications must be marked, so that they will be identifiable for store users. So we are proposing a web application which will process the information, comments and the review of the application. So it will be easier to decide which application is fraud or not. Multiple application can be processed at a time with the web application. Also User cannot always get correct or…
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Secure Mining of Association Rules in Horizontally Distributed Databases

Data mining
Name Secure Mining of Association Rules in Horizontally Distributed Databases Technology Dot net, MS SQL Category Data Mining Description We propose a protocol for secure mining of association rules in horizontally distributed databases. The current leading protocol is that of Kantarcioglu and Clifton [18]. Our protocol, like theirs, is based on the Fast Distributed Mining (FDM) algorithm of Cheung et al. [8], which is an unsecured distributed version of the Apriori algorithm. The main ingredients in our protocol are two novel secure multi-party algorithms—one that computes the union of private subsets that each of the interacting players hold, and another that tests the inclusion of an element held by one player in a subset held by another. Our protocol offers enhanced privacy with respect to the protocol in [18]. In…
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An Efficient Certificateless Encryption for Secure Data Sharing in Public Clouds (Data Mining with cloud)

Data mining
Name An Efficient Certificateless Encryption for Secure Data Sharing in Public Clouds (Data Mining with cloud) Technology Dot net, MS SQL Category Data Mining Description We propose a mediated certificateless encryption scheme without pairing operations for securely sharing sensitive information in public clouds. Mediated certificateless public key encryption (mCL-PKE) solves the key escrow problem in identity based encryption and certificate revocation problem in public key cryptography. However, existing mCL-PKE schemes are either inefficient because of the use of expensive pairing operations or vulnerable against partial decryption attacks. In order to address the performance and security issues, in this paper, we first propose a mCL-PKE scheme without using pairing operations. We apply our mCL-PKE scheme to construct a practical solution to the problem of sharing sensitive information in public clouds. The…
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Infrequent Weighted Itemset Mining Using Frequent Pattern Growth

Data mining
Name Infrequent Weighted Itemset Mining Using Frequent Pattern Growth Technology Dot net, MS SQL Category Data Mining Description Frequent weighted itemsets represent correlations frequently holding in data in which items may weight differently. However, in some contexts, e.g., when the need is to minimize a certain cost function, discovering rare data correlations is more interesting than mining frequent ones. This paper tackles the issue of discovering rare and weighted itemsets, i.e., the infrequent weighted itemset (IWI) mining problem. Two novel quality measures are proposed to drive the IWI mining process. Furthermore, two algorithms that perform IWI and Minimal IWI mining efficiently, driven by the proposed measures, are presented. Experimental results show efficiency and effectiveness of the proposed approach. IEEE Paper Yes IEEE Paper Year 2014
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Interpreting the Public Sentiment Variations on Twitter

Data mining
Name Interpreting the Public Sentiment Variations on Twitter Technology Dot net, MS SQL Category Data Mining Description Millions of users share their opinions on Twitter, making it a valuable platform for tracking and analyzing public sentiment. Such tracking and analysis can provide critical information for decision making in various domains. Therefore it has attracted attention in both academia and industry. Previous research mainly focused on modeling and tracking public sentiment. In this work, we move one step further to interpret sentiment variations. We observed that emerging topics (named foreground topics) within the sentiment variation periods are highly related to the genuine reasons behind the variations. Based on this observation, we propose a Latent Dirichlet Allocation (LDA) based model, Foreground and Background LDA (FB-LDA), to distill foreground topics and filter out…
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Product Aspect Ranking and Its Applications

Data mining
Name Product Aspect Ranking and Its Applications Technology Dot net, MS SQL Category Data Mining Description Numerous consumer reviews of products are now available on the Internet. Consumer reviews contain rich and valuable knowledge for both firms and users. However, the reviews are often disorganized, leading to difficulties in information navigation and knowledge acquisition. This article proposes a product aspect ranking framework, which automatically identifies the important aspects of products from online consumer reviews, aiming at improving the usability of the numerous reviews. The important product aspects are identified based on two observations: 1) the important aspects are usually commented on by a large number of consumers and 2) consumer opinions on the important aspects greatly influence their overall opinions on the product. In particular, given the consumer reviews of…
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Supporting Privacy Protection in Personalized Web Search

Data mining
Name Supporting Privacy Protection in Personalized Web Search Technology Dot net, MS SQL Category Data Mining Description Personalized web search (PWS) has demonstrated its effectiveness in improving the quality of various search services on the Internet. However, evidences show that users’ reluctance to disclose their private information during search has become a major barrier for the wide proliferation of PWS. We study privacy protection in PWS applications that model user preferences as hierarchical user profiles. We propose a PWS framework called UPS that can adaptively generalize profiles by queries while respecting user specified privacy requirements. Our runtime generalization aims at striking a balance between two predictive metrics that evaluate the utility of personalization and the privacy risk of exposing the generalized profile. We present two greedy algorithms, namely GreedyDP and…
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Set Predicates in SQL: Enabling Set- Level Comparisons for Dynamically Formed Groups

Data mining
Name Set Predicates in SQL: Enabling Set- Level Comparisons for Dynamically Formed Groups Technology Dot net, MS SQL Category Data Mining Description In data warehousing and OLAP applications, scalar level predicates in SQL become increasingly inadequate to support a class of operations that require set-level comparison semantics, i.e., comparing a group of tuples with multiple values. Currently, complex SQL queries composed by scalar-level operations are often formed to obtain even very simple set-level semantics. Such queries are not only difficult to write but also challenging for a database engine to optimize, thus can result in costly evaluation. This paper proposes to augment SQL with set predicate, to bring out otherwise obscured set-level semantics. We studied two approaches to processing set predicates—an aggregate function-based approach and a bitmap index-based approach. Moreover,…
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Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions

Data mining
The large number of potential applications from bridging web data with knowledge bases has led to an increase in the entity linking research. Entity linking is the task to link entity mentions in text with their corresponding entities in a knowledge base. Potential applications include information extraction, information retrieval, and knowledge base population. However, this task is challenging due to name variations and entity ambiguity. In this survey, we present a thorough overview and analysis of the main approaches to entity linking, and discuss various applications, the evaluation of entity linking systems, and future directions.
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Discovery of Ranking Fraud for Mobile Apps

Data mining
Ranking fraud in the mobile App market refers to fraudulent or deceptive activities which have a purpose of bumping up the Apps in the popularity list. Indeed, it becomes more and more frequent for App develops to use shady means, such as inflating their Apps’ sales or posting phony App ratings, to commit ranking fraud. While the importance of preventing ranking fraud has been widely recognized, there is limited understanding and research in this area. To this end, in this paper, we provide a holistic view of ranking fraud and propose a ranking fraud detection system for mobile Apps. Specifically, we investigate two types of evidences, ranking based evidences and rating based evidences, by modeling Apps’ ranking and rating behaviors through statistical hypotheses tests. In addition, we propose an optimization…
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