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Project Zone > Software > Data Mining

k - Nearest Neighbor Classification over Semantically Secure Encrypted Relational Data

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM01


Project Desc : Data Mining: Data mining is extract data from in the Database,the data mining applications in many areas such as banking,medicine,scientific research and among government agencies.

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Dual Sentiment Analysis: Considering Two Sides of One Review

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM02


Project Desc : Bag-of-words (BOW) is now the most popular way to model text in statistical machine learning approaches in sentiment analysis. However, the performance of BOW sometimes remains limited due to some fundamental deficiencies in handling the polarity shift problem.

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Real - Time City - Scale Taxi Ridesharing

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM03


Project Desc : We proposed and developed a taxi-sharing system that accepts taxi passengers real-time ride requests sent from smart phones and schedules proper taxis to pick up them via ridesharing, subject to time, capacity, and monetary constraints.

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Relevance Feature Discovery for Text Mining

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM04


Project Desc : In this paper we introduce a method to select irrelevant documents for weighting features. We continued to develop the RFD model and experimentally prove that the proposed specificity function is reasonable and the term classification can be effectively approximated by a feature clustering method.

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RRW - A Robust and Reversible WatermarkingTechnique for Relational Data

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM05


Project Desc : Watermarking is advocated to enforce ownership rights over shared relational data and for providing a means for tackling data tampering. When ownership rights are enforced using watermarking, the underlying data undergoes certain modifications; as a result of which, the data quality gets compromised.

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An Internal Intrusion Detection and Protection System by Using Data Mining and Forensic Techniques

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM06


Project Desc : In this paper, a security system, named the Internal Intrusion Detection and Protection System (IIDPS), is proposed to detect insider attacks at SC level by using data mining and forensic techniques.

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Relational Collaborative Topic Regression for Recommender Systems

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM07


Project Desc : In this project, we develop a novel hierarchical Bayesian model called Relational Collaborative Topic Regression (RCTR), which extends CTR by seamlessly integrating the user-item feedback information, item content information, and network structure among items into the same model.

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A Novel Data - Mining Approach Leveraging Social Media to Monitor Consumer Opinion of Sitagliptin

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM08


Project Desc : We devised a two-step analysis framework. Initial exploratory analysis using self-organizing maps was performed to determine structures based on user opinions among the forum posts. The results were a compilation of user clusters and their correlated (positive or negative) opinion of the drug.

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Malware Propagation in Large - Scale Networks

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM09


Project Desc : Malware is pervasive in networks, and poses a critical threat to network security. However, we have very limited understanding of malware behavior in networks to date. In this paper, we investigate how malware propagates in networks from a global perspective.

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Understanding User Intents in Online Health Forums

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM10


Project Desc : Online health forums provide a convenient way for patients to obtain medical information and connect with physicians and peers outside of clinical settings. We derive a taxonomy of intents to capture user information needs in online health forums, and propose novel pattern based features for use with a multiclass support vector machine (SVM) classifier to classify original thread posts According to their underlying intents.

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