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检索条件"机构=Institute of Data and Knowledge Engineering"
486 条 记 录,以下是461-470 订阅
排序:
TRIAS--An Algorithm for Mining Iceberg Tri-Lattices
TRIAS--An Algorithm for Mining Iceberg Tri-Lattices
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IEEE International Conference on data Mining (ICDM)
作者: Robert Jaschke Andreas Hotho Christoph Schmitz Bernhard Ganter Gerd Stumme Knowledge & Data Engineering Group University of Kassel Germany Institute for Algebra Dresden University of Technology Germany
In this paper, we present the foundations for mining frequent tri-concepts, which extend the notion of closed item-sets to three-dimensional data to allow for mining folk-sonomies. We provide a formal definition of th... 详细信息
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Mining Maximal Frequent Patterns in a Unidirectional FP-tree
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Journal of Donghua University(English Edition) 2006年 第6期000卷 105-109页
作者: SONG Jing-jing LIU Rui-xin WANG Yan JIANG Bao-qing SONG Jing-jing(Institute of Data and Knowledge Engineering Henan University Kaifeng 475001) LIU Rui-xin(Information Engineering Science Department Yellow River Conservancy Technical Institute Kaifeng 475003) WANG Yan(Institute of Data and Knowledge Engineering Henan University Kaifeng 475001 Department of Computer Science and Application Zhengzhou Institute of Aeronautical Industry Management Zhengzhou 450015)
Becausemining complete set of frequent patterns from dense database could be impractical, an interesting alternative has been proposed recently. Instead of mining the complete set of frequent patterns, the new model o... 详细信息
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Algebraic Independence Measures for the Values of Mahler Type Functions
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Chinese Quarterly Journal of Mathematics 2006年 第4期21卷 567-576页
作者: WANG Tian-qin LIU Hua-ke Institute of Data and Knowledge Engineering Henan University Kaifeng 475001 China College of Mathematics and Information Science Henan University Kaifeng 475001 China
In this paper, we give the algebraic independence measures for the values ofMahler type functions in complex number field and p-adic number field, respectively.
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Recent trends in data Mining (DM): Document Clustering of DM Publications
Recent trends in Data Mining (DM): Document Clustering of DM...
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International Conference on Services Systems and Services Management, ICSSSM
作者: Yi Peng Gang Kou Zhengxin Chen Yong Shi Peter Kiewit Institute ofInformation Science Technology & Engineering University of Nebraska Omaha NE USA Chinese Academy of Sciences Research Center on Data Technology & Knowledge Economy Chinese Academy of Sciences Beijing China
data mining (DM) brings knowledge and theories from several fields including databases, machine learning, optimization, statistics, and data visualization and has been applied to various real-life applications. A larg... 详细信息
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Application of Clustering Methods to Health Insurance Fraud Detection
Application of Clustering Methods to Health Insurance Fraud ...
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International Conference on Services Systems and Services Management, ICSSSM
作者: Yi Peng Gang Kou Alan Sabatka Zhengxin Chen Deepak Khazanchi Yong Shi Peter Kiewit Institute of Information Science Technology & Engineering University of Nebraska Omaha Omaha NE USA Mutual of Omaha Omaha NE USA Chinese Academy of Sciences Research Center on Data Technology & Knowledge Economy Chinese Academy of Sciences Beijing China
Health insurance fraud detection is an important and challenging task. Traditionally, insurance companies use human inspections and heuristic rules to detect fraud. As the size of databases increases, the traditional ... 详细信息
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Semantics, Web and Mining: Preface
Lecture Notes in Computer Science (including subseries Lectu...
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2006年 4289 LNAI卷 v-vi页
作者: Berendt, Bettina Hotho, Andreas Mladenič, Dunja Semeraro, Giovanni Spiliopoulou, Myra Stumme, Gerd Van Someren, Maarten Ackermann, Markus Grobelnik, Marko Svátek, Vojtěch Institute of Information Systems Humboldt University Berlin Germany Knowledge and Data Engineering Group University of Kassel Germany J. Stefan Institute Ljubljana Slovenia Department of Informatics University of Bari Italy Faculty of Computer Science Otto-von-Guericke-Univ. Magdeburg Germany Informatics Institute University of Amsterdam Netherlands Dept. of Natural Language Processing Institute for Computer Science University of Leipzig Germany University of Economics Prague Czech Republic
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A Depth-first Algorithm of Finding All Association Rules Generated by a Frequent Itemset
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Journal of Donghua University(English Edition) 2006年 第6期000卷
作者: WU Kun JIANG Bao-qing WEI Qing WU Kun(Institute of Data and Knowledge Engineering Henan University Kaifeng 475001 The Personnel Department Zhengzhou Institute of Aeronautical Industry ManagementZhengzhou 450000) JIANG Bao-qing(Institute of Data and Knowledge Engineering Henan University Kaifeng 475001) WEI Qing(The Computer Science Department Henan University of Finance and Economics Zhengzhou 450000)
The classical algorithm of finding association rules generated by a frequent itemset has to generate all nonempty subsets of the frequent itemset as candidate set of consequents. Xiongfei Li aimed at this and proposed... 详细信息
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Discrepancies between reality and expectation: Can Adaptive Hypermedia meet the expectations of teachers?
Discrepancies between reality and expectation: Can Adaptive ...
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IADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2005
作者: Monthienvichienchai, Rachada Conlan, Owen Seyedarabi, Faezeh London Knowledge Lab. Institute of Education University of London United Kingdom Knowledge and Data Engineering Group Department of Computer Science Trinity College Dublin Ireland
The effort to personalise eLearning has led to the development of sophisticated Adaptive Hypermedia (AH) systems that can adapt to many aspects of the learner's characteristics or explicit preferences. However, wh... 详细信息
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Can museum exhibits support personalised learning in collaborative classroom activities by using augmented reality?
Can museum exhibits support personalised learning in collabo...
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IADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2005
作者: Monthienvichienchai, Rachada Conlan, Owen Seyedarabi, Faezeh London Knowledge Lab. Institute of Education University of London United Kingdom Knowledge and Data Engineering Group Department of Computer Science Trinity College Dublin Ireland
This paper proposes a novel approach in integrating seemingly contradictory approaches of teaching and learning via collaborative and personalised learning activities by using augmented reality museum exhibits. The pa... 详细信息
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Prediction of wastewater pre-precipitation variables using self-organizing networks
Prediction of wastewater pre-precipitation variables using s...
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20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05
作者: Isaias, Padelis Nilsson, Sara Stathaki, Anna King, Robert E. IEEE Data and Knowledge Engineering Group Computer Research Institute Athens Greece Environmental Research Institute IVL Stockholm Sweden Electrical Engineering and Computer Science University of Patras Greece Computer Research Institute Athens Greece
This paper describes the derivation and design of an array of self-organizing networks trained by inductive learning for one step ahead prediction of the outputs of the pre-precipitation stage of a wastewater treatmen... 详细信息
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