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检索条件"主题词=Data mining Algorithm"
76 条 记 录,以下是61-70 订阅
排序:
Classification Based on A Multi-Dimensional Probability Distribution and Its Application to Network Intrusion Detection
Classification Based on A Multi-Dimensional Probability Dist...
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2010 IEEE World Congress on Computational Intelligence
作者: Mabu, Shingo Li, Wenjing Lu, Nannan Wang, Yu Hirasawa, Kotara Waseda Univ Grad Sch Informat Prod & Syst Tokyo Japan
With the rapid growth of the Internet, to make sure of the computer security has been a crucial problem, therefore, many techniques for Intrusion detection have been proposed in order to detect network attacks efficie... 详细信息
来源: 评论
Implement web learning environment based on data mining
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KNOWLEDGE-BASED SYSTEMS 2009年 第6期22卷 439-442页
作者: Guo, Qinglin Zhang, Ming N China Elect Power Univ Sch Comp Sci & Technol Beijing 102206 Peoples R China Peking Univ Dept Comp Sci & Technol Beijing 100871 Peoples R China
The need for providing learners with web-based learning content that match their accessibility needs and preferences, as well as providing ways to match learning content to user's devices has been identified as an... 详细信息
来源: 评论
Contiguous item sequential pattern mining using UpDown Tree
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INTELLIGENT data ANALYSIS 2008年 第1期12卷 25-49页
作者: Chen, Jinlin CUNY Queens Coll Dept Comp Sci Flushing NY 11367 USA
In this paper the problem of Contiguous Item Sequential Pattern ( CISP) mining is presented as a sequential pattern mining problem under two constraints. First, each element in a sequence consists of only one item. Se... 详细信息
来源: 评论
A Two Stage Approach for Contiguous Sequential Pattern mining
A Two Stage Approach for Contiguous Sequential Pattern Minin...
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IEEE International Conference on Information Reuse and Integration
作者: Chen, Jinlin Shankar, Subash Kelly, Angela Gningue, Sergine Rajaravivarma, Rathika CUNY Queens Coll Flushing NY 11367 USA Hunter Coll New York NY USA Lehman Coll CUNY New York NY USA City Tech CUNY New York NY USA
Contiguous Sequential Pattern (CSP) mining is an important problem with many applications. Using general sequential pattern mining algorithms for CSP mining may lead to poor performance due to the lack of consideratio... 详细信息
来源: 评论
Identification of functional modules based on transcriptional regulation structure
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BMC proceedings 2008年 第4期2 Suppl 4卷 S4页
作者: Etienne Birmelé Mohamed Elati Céline Rouveirol Christophe Ambroise Laboratoire Statistique et Génome UMR CNRS 8071 INRA 1152 Tour Evry 2 F-91000 Evry France. etienne.birmele@genopole.cnrs.fr
BACKGROUND:Identifying gene functional modules is an important step towards elucidating gene functions at a global scale. Clustering algorithms mostly rely on co-expression of genes, that is group together genes havin... 详细信息
来源: 评论
A data mining algorithm based on rough set theory
A data mining algorithm based on rough set theory
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International Conference on Information Acquistition
作者: Zhou, CL Li, ZG Meng, YJ Meng, QL Beijing Broadcasting Inst Dept Automat Control Beijing 100024 Peoples R China
In this paper, a data mining algorithm based on Rough Set Theory (RS) is discussed, which is used to extract decision-making rule from data set. The basic concepts of RS are introduced and used in the algorithm. An ex... 详细信息
来源: 评论
mining minimal distinguishing subsequence patterns with gap constraints
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KNOWLEDGE AND INFORMATION SYSTEMS 2007年 第3期11卷 259-286页
作者: Ji, Xiaonan Bailey, James Dong, Guozhu Univ Melbourne NICTA Victoria Lab Dept Comp Sci & Software Engn Melbourne Vic 3053 Australia Wright State Univ Dept Comp Sci & Engn Dayton OH 45435 USA
Discovering contrasts between collections of data is an important task in data mining. In this paper, we introduce a new type of contrast pattern, called a Minimal Distinguishing Subsequence (MDS). An MDS is a minimal... 详细信息
来源: 评论
Knowledge discovery from spatial transactions
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JOURNAL OF INTELLIGENT INFORMATION SYSTEMS 2007年 第1期28卷 1-22页
作者: Rinzivillo, Salvatore Turini, Franco Univ Pisa Dept Comp Sci Pisa Italy
We propose a general mechanism to represent the spatial transactions in a way that allows the use of the existing data mining methods. Our proposal allows the analyst to exploit the layered structure of geographical i... 详细信息
来源: 评论
Research on a data mining algorithm Based on Concept Hierarchy Tree and Its Application in CRM
Research on a Data Mining Algorithm Based on Concept Hierarc...
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The 8th International Conference on Computer Supported Cooperative Work in Design(第八届计算机支持的协同工作设计国际会议)(CSCWD2004)
作者: Feng YE Juan XIAO Economic and Management College Zhejiang University of TechnologyP.R.China310014 ZhiJiang College Economic and Management College Zhejiang University of TechnologyP.R.China310014 Zhi Jiang College
The method of Concept Hierarchy Tree Classifiers(CHTC) has been widely applied in today's large-scaledata mining environments. This paper, after introducingthe basic idea of data-mining algorithm based onCHTC, pro... 详细信息
来源: 评论
mining top-K frequent itemsets from data streams
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data mining AND KNOWLEDGE DISCOVERY 2006年 第2期13卷 193-217页
作者: Wong, Raymond Chi-Wing Fu, Ada Wai-Chee Chinese Univ Hong Kong Dept Comp Sci & Engn Shatin Hong Kong Peoples R China
Frequent pattern mining on data streams is of interest recently. However, it is not easy for users to determine a proper frequency threshold. It is more reasonable to ask users to set a bound on the result size. We st... 详细信息
来源: 评论