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Project Zone > Software > Data Mining

Towards Effective Bug Triage with Software Data Reduction Techniques

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM07


Project Desc : In this paper, decrease the time cost in manual work, text classification techniques are applied to conduct automatic bug triage. Software companies spend over 45% of cost in dealing with software bugs.

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Network - Based Modeling and Intelligent Data Mining of Social Media for Improving Care

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM08


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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On Summarization and Timeline Generation for Evolutionary Tweet Streams

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM09


Project Desc : In this paper, we propose a novel continuous summarization framework called Sumblr to alleviate the problem. Short-text messages such as tweets are being created and shared at an unprecedented rate. Tweets, in their raw form, while being informative, can also be overwhelming.

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PPSGEN: Learning - Based Presentation Slides Generation for Academic Papers

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM10


Project Desc : In this paper, investigate a very challenging task of automatically generating presentation slides for academic papers. The generated presentation slides can be used as drafts to help the presenters prepare their formal slides in a quicker way.

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Discovering Latent Semantics in Web Documents using Fuzzy Clustering

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM11


Project Desc : In this paper we study about Web documents are various and complex. There exist complicated associations within one web document and linking to the others. The high interactions between terms in documents exhibit vague and ambiguous meanings.

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Diversifying Web Service Recommendation Results via Exploring Service Usage History

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM12


Project Desc : In this paper we study about Diversifying Web Service Recommendation Results via Exploring Services Usage History . The last decade has witnessed a great growth of Web services as a major technology for sharing data, computing resources, and programs on the Web. With the increasing acceptance and attendance of Web services, design of novel approaches for effective Web service recommendation to satisfy users potential requirements has become of paramount importance.

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Pattern - based Topics for Document Modelling in Information Filtering

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM13


Project Desc : Many mature term-based or pattern-based approaches have been used in the field of information filtering to generate users information needs from a collection of documents. A fundamental assumption for these approaches is that the documents in the collection are all about one topic. However, in reality users interests can be diverse and the documents in the collection often involve multiple topics.

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Neural Control of a Tracking Task via Attention - Gated Reinforcement Learning for Brain - Machine Interfaces

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM14


Project Desc : Reinforcement learning (RL)-based brain machine interfaces (BMIs) enable the user to learn from the environment through interactions to complete the task without desired signals, which is promising for clinical applications.

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Bridging the Vocabulary Gap between Health Seekers and Healthcare Knowledge

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM15


Project Desc : In this paper we study about bridging the vocabulary gap between health seekers and providers has hindered the cross-system operability and the inter-user reusability. To bridge this gap, in this paper presents a novel scheme to code the medical records by jointly utilizing local mining and global learning approaches, which are tightly linked and mutually reinforced.

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Investigating QoS of Real - World Web Services

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM16


Project Desc : Monitoring Quality of Service (QoS) compliance is an important procedure in web service environment. It determines whether users expectations are met, and becomes the vital factor for them to decide whether to continue paying for the service or not.

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