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Titlebook: Intelligent Information and Database Systems; 6th Asian Conference Ngoc Thanh Nguyen,Boonwat Attachoo,Kulwadee Somboo Conference proceeding

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书目名称Intelligent Information and Database Systems
副标题6th Asian Conference
编辑Ngoc Thanh Nguyen,Boonwat Attachoo,Kulwadee Somboo
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Intelligent Information and Database Systems; 6th Asian Conference Ngoc Thanh Nguyen,Boonwat Attachoo,Kulwadee Somboo Conference proceeding
描述The two-volume set LNAI 8397 and LNAI 8398 constitutes the refereed proceedings of the 6th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2014, held in Bangkok, Thailand in April 2014. The 125 revised papers presented were carefully reviewed and selected from 300 submissions. Suggestion: The aim of the conference is to provide an internationally respected forum for scientific research in the technologies and applications of intelligent information and database systems. The papers are organized in topical sections on Natural Language and Text Processing, Intelligent Information Retrieval, Semantic Web, Social Networks and Recommendation Systems, Intelligent Database Systems, Decision Support Systems, Computer Vision Techniques, Machine Learning and Data Mining, Multiple Model Approach to Machine Learning, MMAML 2014, Computational Intelligence, CI 2014, Engineering Knowledge and Semantic Systems , IWEKSS 2014, Innovations in Intelligent Computation and Applications, IICA 2014, Modelling and Optimization Techniques in Information Systems, Database Systems and Industrial Systems, MOT 2014, Innovation via Collective Intelligences and Globalization in Business
出版日期Conference proceedings 2014
关键词QoS; information retrieval; machine learning; natural language processing; pattern matching; algorithm an
版次1
doihttps://doi.org/10.1007/978-3-319-05458-2
isbn_softcover978-3-319-05457-5
isbn_ebook978-3-319-05458-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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Exact Discovery of Length-Range Motifssolve this problem with no a-priori knowledge of the timeseries or motif characteristics. MK algorithm is the de facto standard exact motif discovery algorithm but it can discover a single motif of a known length. In this paper, we argue that it is not trivial to extend this algorithm to handle mult
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Feature Reduction Using Standard Deviation with Different Subsets Selection in Sentiment Analysisompiling many features in document-level. Consequently, we will have a high-dimensional feature space. In this paper, we propose an algorithm based on standard deviation method to solve the high-dimensional feature space. The algorithm constructs feature subsets based on dispersion of features. In o
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Mining Class Association Rules with the Difference of Obidsetsring Obidsets of itemsets and time in computing the intersection between two Obidsets. In this paper, we propose an improved algorithm for mining class association rules by using the difference between two Obidsets (d2O). Firstly, the d2O concept is developed. After that, a strategy for reducing the
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