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Evaluating user experience in moodle learning management systems
TLDR
This study evaluates an open source Moodle learning management system to help academicians create effective online learning communities using data mining techniques. Expand
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Question Classification: A Review of State-of-the-Art Algorithms and Approaches
TLDR
In the recent year Question Answering System achieved significant progress in which Question Classification is an essential component. Expand
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A Theoretical Framework for the Maintainability Model of Aspect Oriented Systems
TLDR
This paper proposes a framework to build maintainability model for aspect oriented systems using already defined software measures. Expand
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Machine learning approaches on map reduce for Big Data analytics
TLDR
This paper presents parallel implementation of various machine learning algorithms implemented on top of MapReduce model for time and processing efficiency. Expand
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An Efficient Presentation of Attribute Based Encryption Design in Cloud Data
TLDR
This paper presents a survey based on attribute based encryption schemes that provide security and efficiency performance of the cloud data. Expand
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Automated question answering system using ontology and semantic role
TLDR
We present the Web And semantic knowledge-Driven automatic question answering system (WAD). Expand
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Comparison of Classification Algorithms in Text Mining
Web Mining is searching useful data from the World Wide Web repository which is divided into Content Mining, Usage Mining and Structure Mining in which Content Mining uses text, images, Audio andExpand
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Digital signatures security using cryptography for industrial applications
Digital signature confirmation conspire gives secure correspondence between two clients. A legitimate advanced mark gives a beneficiary motivation to trust that the message was made by a knownExpand
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Fuzzy C-means algorithm with gravitational search algorithm in spatial data mining
TLDR
Gravitational search algorithm is incorporated into fuzzy c-means to take advantage of its ability to find optimum cluster centers for data clustering. Expand
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