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Project Zone > Software > Data Mining

Scalable Keyword Search on Large RDF Data

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM21


Project Desc : This paper is keyword search is a large RDF datasets. Existing techniques returning incorrect answers the keyword search returns answers that do not correspond to real sub graphs or misses valid matches from the Underlying RDF data and inability to scale to handle typical RDF datasets with tens of millions of triples.

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Task Trail: An Effective Segmentation of UserSearch Behavior

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM22


Project Desc : In this paper, we discussed about task trail An Effective Segmentation of User Search Behavior to understand user search behaviors. We define a task to be user information need, whereas a task trail represents all user activities within that particular task.

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Building Confidential and Efficient Query Services in the Cloud with Rasp Data Perturbation

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM23


Project Desc : This paper random space perturbation (RASP) data perturbation can require the efficient query service in data perturbation and secure range data recovery in cloud.

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Automatic Generation of the Domain Module from Electronic Textbooks: Method and Validation

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM24


Project Desc : Technology-supported learning systems have proved to be helpful in many learning situations. These systems require an appropriate representation of the knowledge to be learned, the Domain Module.

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Web - Based Medical Decision Support Systems for Three - Way Medical Decision Making With Game - Theoretic Rough Sets

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM01


Project Desc : In this paper, we extend the GTRS model to analyze uncertainty involved in medical decision making. Experimental results with a GTRS-based approach on different health care datasets suggest that the approach may improve the overall quality of decision making in the medical field, as well as other fields.

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Co - Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM02


Project Desc : A graph-based co-ranking algorithm is exploited to estimate the confidence of each candidate. The candidates with higher confidence are extracted as opinion targets or opinion words. Compared to previous methods based on the nearest neighbor rules, our model captures opinion relations more precisely, especially for long-span relations.

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Fast Best - Effort Search on Graphs with Multiple Attributes

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM03


Project Desc : As Data mining systems refers to the demand delivery of IT resources via the internet with pay as you go pricing. A Data offers many services to the end users such as software, infrastructure and platform go on.

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HOCTracker: Tracking the Evolution of Hierarchical and Overlapping Communities in Dynamic Social Networks

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM04


Project Desc : In this paper, we propose a unified framework, HOC Tracker, for tracking the evolution of hierarchical and overlapping communities in online social networks. Unlike most of the dynamic community detection methods, HOC Tracker adapts preliminary community structure towards dynamic changes in social networks using a novel density-based approach for detecting overlapping community structures, and automatically tracks evolutionary events like birth, growth, contraction, merge, split, and death of communities.

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Joint Local and Global Consistency on Interdocument and Interword Relationships for Co - Clustering

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM05


Project Desc : In this paper, we study about a novel co-clustering method, called co-clustering via local and global consistency, to not only make use of the relationship between word and document, but also jointly explore the local and global consistency on both word and document spaces, respectively.

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Using Semantic Web Technologies for Exploratory OLAP: A Survey

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM06


Project Desc : The paper first presents a characterization of DW/OLAP environments, followed by an introduction to the relevant SW foundation concepts. It describes the relationship of multidimensional models and SW Technologies, including the relationship between MD models and SW formalisms.

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