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检索条件"主题词=Data mining algorithms"
114 条 记 录,以下是81-90 订阅
排序:
Fast algorithms for Frequent Itemset mining from Uncertain data  14
Fast Algorithms for Frequent Itemset Mining from Uncertain D...
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14th IEEE International Conference on data mining (IEEE ICDM)
作者: Leung, Carson Kai-Sang MacKinnon, Richard Kyle Tanbeer, Syed K. Univ Manitoba Dept Comp Sci Winnipeg MB Canada
The majority of existing data mining algorithms mine frequent itemsets from precise data. A well-known algorithm is FP-growth, which builds a compact FP-tree structure to capture important contents of precise data and... 详细信息
来源: 评论
Constructing Parallel Association algorithms from Function Blocks  15th
Constructing Parallel Association Algorithms from Function B...
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15th Industrial Conference on data mining (ICDM)
作者: Kholod, Ivan Kuprianov, Mikhail Shorov, Andrey St Petersburg Electrotech Univ LETI St Petersburg Russia
The article describes the method of construction of association rules retrieval algorithms out from function blocks having a unified interface and purely functional properties. The usage of function blocks to build as... 详细信息
来源: 评论
Discovering Complex Incomplete Periodic Patterns through Logical Derivations
Discovering Complex Incomplete Periodic Patterns through Log...
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2015 Workshop 11
作者: Janusz R.Getta Marcin Zimniak School of Computing and Information Technology University of Wollongong Faculty of Computer Science TU Chemnitz
Discovering complex and incomplete periodic patterns in the logs of events is a complicated and time consuming *** work shows that it is possible to discover complex and incomplete periodic patterns through finding si... 详细信息
来源: 评论
Knowledge discovery in medicine: Current issue and future trend
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EXPERT SYSTEMS WITH APPLICATIONS 2014年 第9期41卷 4434-4463页
作者: Esfandiari, Nura Babavalian, Mohammad Reza Moghadam, Amir-Masoud Eftekhari Tabar, Vahid Kashani Islamic Azad Univ Fac Comp & Informat Technol Qazvin Branch Qazvin Iran Kashan Univ Med Sci Trauma Res Ctr Kashan Iran
data mining is a powerful method to extract knowledge from data. Raw data faces various challenges that make traditional method improper for knowledge extraction. data mining is supposed to be able to handle various d... 详细信息
来源: 评论
A statistical significance testing approach to mining the most informative set of patterns
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data mining AND KNOWLEDGE DISCOVERY 2014年 第1期28卷 238-263页
作者: Lijffijt, Jefrey Papapetrou, Panagiotis Puolamaki, Kai Aalto Univ Dept Informat & Comp Sci Aalto 00076 Finland Univ London Dept Comp Sci & Informat Syst London WCIE 7HX England Finnish Inst Occupat Hlth FI-00025 Helsinki Finland
Hypothesis testing using constrained null models can be used to compute the significance of data mining results given what is already known about the data. We study the novel problem of finding the smallest set of pat... 详细信息
来源: 评论
mining Students' Learning Behavior in Moodle System
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JOURNAL OF INFORMATION TECHNOLOGY RESEARCH 2014年 第4期7卷 12-26页
作者: Touya, K. Fakir, Mohamed Sultan Moulay Slimane Univ Fac Sci & Technol Beni Mellal Morocco
In the last few years, Educational data mining has become an interesting area exploited to discover and extract hidden knowledge of students from educational environment data. During the establishment of this work an ... 详细信息
来源: 评论
A Business Intelligence Solution for Frequent Pattern mining on Social Networks  14
A Business Intelligence Solution for Frequent Pattern Mining...
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14th IEEE International Conference on data mining (IEEE ICDM)
作者: Jiang, Fan Leung, Carson Kai-Sang Univ Manitoba Dept Comp Sci Winnipeg MB Canada
Frequent pattern mining is an important data mining task. Since its introduction, it has drawn attention from many researchers. Consequently, many frequent pattern mining algorithms have been proposed to mine large va... 详细信息
来源: 评论
DISC: Efficient Uncertain Frequent Pattern mining with Tightened Upper Bounds  14
DISC: Efficient Uncertain Frequent Pattern Mining with Tight...
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14th IEEE International Conference on data mining (IEEE ICDM)
作者: MacKinnon, Richard Kyle Strauss, Teagan D. Leung, Carson Kai-Sang Univ Manitoba Dept Comp Sci Winnipeg MB Canada
UF-growth is a tree-based exact algorithm for mining frequent patterns from uncertain data. While it directly calculates the expected support of a pattern, it requires a significant amount of storage space to capture ... 详细信息
来源: 评论
data mining model adjustment control charts for cascade processes
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EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING 2013年 第4期7卷 442-455页
作者: Kim, Seoung Bum Jitpitaklert, Weerawat Chen, Victoria C. P. Lee, Jinpyo Park, Sun-Kyoung Korea Univ Sch Ind Management Engn Seoul 136713 South Korea Univ Texas Arlington Dept Ind & Mfg Syst Engn Arlington TX 76019 USA Hongik Univ Sch Business Seoul 121791 South Korea Hanyang Cyber Univ Sch Business Adm Seoul 133791 South Korea
Control charts have been widely recognised as important tools in system monitoring of abnormal behaviour and quality improvement. Traditional control charts have a major assumption that successive observations are unc... 详细信息
来源: 评论
A Method for mining Infrequent Causal Associations and Its Application in Finding Adverse Drug Reaction Signal Pairs
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IEEE TRANSACTIONS ON KNOWLEDGE AND data ENGINEERING 2013年 第4期25卷 721-733页
作者: Ji, Yanqing Ying, Hao Tran, John Dews, Peter Mansour, Ayman Massanari, R. Michael Gonzaga Univ Dept Elect & Comp Engn Spokane WA 99258 USA Wayne State Univ Dept Elect & Comp Engn Detroit MI 48202 USA Spokane Mental Hlth Spokane WA 99202 USA St Mary Mercy Hosp Trinity Hlth Dept Med Livonia MI 48154 USA Crit Junctures Inst Bellingham WA 98225 USA
In many real-world applications, it is important to mine causal relationships where an event or event pattern causes certain outcomes with low probability. Discovering this kind of causal relationships can help us pre... 详细信息
来源: 评论