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A Query Approach for Influence Maximization on Specific Users in Social Networks

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM11


Project Desc : Influence maximization is introduced to maximize the profit of viral marketing in social networks. The weakness of influence maximization is that it does not distinguish specific users from others, even if some items can be only useful for the specific users.

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Best Keyword Cover Search

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM12


Project Desc : In recent years, we observe the increasing availability and importance of keyword rating in object evaluation for the better decision making. This motivates us to investigate a generic version of Closest Keywords search called Best Keyword Cover which considers inter-objects distance as well as the keyword rating of objects.

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Differentially Private Frequent Item set Mining via Transaction Splitting

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM13


Project Desc : In this paper, we explore the possibility of designing a differentially private FIM algorithm which can not only achieve high data utility and a high degree of privacy, but also offer high time efficiency.

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Learning to Rank Using User Clicks and Visual Features for Image Retrieval

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM14


Project Desc : The inconsistency between textual features and visual contents can cause poor image search results. To solve this problem, click features, which are more reliable than textual information in justifying the relevance between a query and clicked images, are adopted in image ranking model.

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TRIP: An Interactive Retrieving - Inferring Data Imputation Approach

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM15


Project Desc : Existing imputation approaches to non-quantitive string data can be roughly put into two categories: (1) inferring-based approaches and (2) retrieving based approaches .Specifically, the inferring-based approaches find substitutes or estimations for the missing ones from the complete partof the data set.

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Probabilistic Aspect Mining Model for DrugReviews

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM16


Project Desc : Probabilistic aspect mining model (PAMM) is one of the most important issues in the assessment of drug safety. In fact, many adverse drug reactions are not discovered during limited pre-marketing clinical trials; instead, they are only observed after long term post-marketing surveillance of drug usage.

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Supporting Privacy Protection in PersonalizedWeb Search

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM17


Project Desc : Personalized web search (PWS) used for improving the quality of various search services on the Internet. Users might experience failure when search engines return irrelevant results that do not meet their real intentions.

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PSMPA: Patient Self - controllable andMulti - level Privacy - preserving CooperativeAuthentication in Distributed m - HealthcareClou

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM18


Project Desc : In m-healthcare social networks, the personal health information is always shared among the patients located in respective social communities suffering from the same disease for mutual support, and across distributed healthcare providers equipped with their own cloud servers for medical consultant.

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A Fuzzy Preference Tree - Based Recommender System for Personalized

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM19


Project Desc : Recommender systems aim to automatically generate personalized suggestions of products/services to customers; there are still two challenges in e-services: (1) items or user profiles often present complicated tree structures (2) online users preferences are often indefinite.

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OCCT: A One - Class Clustering Tree forImplementing One - to - Many Data Linkage

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM20


Project Desc : One-to-many data linkage is an essential task in many domains, yet only a handful of prior publications have addressed this issue. Furthermore, while traditionally data linkage is performed among entities of the same type, it is extremely necessary to develop linkage techniques that link between matching entities of different types as well.

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