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Titlebook: Knowledge Management and Acquisition for Smart Systems and Services; 11th International W Byeong-Ho Kang,Debbie Richards Conference proceed

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書目名稱Knowledge Management and Acquisition for Smart Systems and Services
副標(biāo)題11th International W
編輯Byeong-Ho Kang,Debbie Richards
視頻videohttp://file.papertrans.cn/544/543969/543969.mp4
概述Up to date results.Fast conference proceedings.State-of-the-art report
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Knowledge Management and Acquisition for Smart Systems and Services; 11th International W Byeong-Ho Kang,Debbie Richards Conference proceed
描述th The 11 International Workshop on Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2010) has provided a forum for the past two decades for researchers and practitioners working in the area of machine intelligence. PKAW covers a spectrum of techniques and approaches to implement smartness in IT applications. As evidenced in the papers in this volume, machine intelligence solutions incorporate many areas of AI such as ontological engineering, agent-based techn- ogy, robotics, image recognition and the Semantic Web as well as many other fields of computing such as software engineering, security, databases, the Internet, information retrieval, language technology and game technology. PKAW has evolved to embrace and foster advances in theory, practice and te- nology not only in knowledge acquisition and capture but all aspects of knowledge management including reuse, sharing, maintenance, transfer, merging, reconciliation, creation and dissemination. As many nations strive to be knowledge economies and organizations seek to maximize their knowledge assets and usage, solutions to handle the complex task of knowledge management are more important than ever. This
出版日期Conference proceedings 2010
關(guān)鍵詞artificial intelligence; data mining; intelligence; knowledge engineering; knowledge management; learning
版次1
doihttps://doi.org/10.1007/978-3-642-15037-1
isbn_softcover978-3-642-15036-4
isbn_ebook978-3-642-15037-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

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Improving Trading Systems Using the RSI Financial Indicator and Neural Networksve become in the current economic landscape a significant challenge for multi-disciplinary research. Particularly, Trading-oriented Decision Support Systems based on the Chartist or Technical Analysis Relative Strength Indicator (RSI) have been published and used worldwide. However, its combination
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Laban-Based Motion Rendering for Emotional Expression of Human Form Robotsemotions are pleasure, anger, sadness or relaxation. This method not only keeps the user interested, but it also makes the user perceive the robot’s emotions and form an attachment to the robot more easily. An experiment was conducted using an HFR to test how well our system adds emotion to arbitrar
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Business Intelligence for Delinquency Risk Management via Cox Regressionompanies. This study focuses on customers who have recovered from credit delinquency to analyze repayment patterns of delinquents. A Cox regression model is designed as a credit-predicting model to handle with credit card debtors. The model predicts the expected time for credit recovery from delinqu
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