Webservices oriented data mining in knowledge architecture

被引：8
|
作者：
Olejnik, Richard [1 ]
Fortis, Teodor-Florin [2 ]
Toursel, Bernard [1 ]
机构：
[1] USTL, CNRS, LIFL UMR 8022, Lille, France
[2] W Univ Timisoara, Dept Comp Sci, Fac Math & Comp Sci, Timisoara, Romania
来源：
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2009年 / 25卷 / 04期
关键词：
Grid technology; Software architecture; Data mining; Service oriented architecture (SOA); Workflows;
D O I：
10.1016/j.future.2008.09.011
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Massive parallelism is required for an efficient Solution to data mining tasks, considering the proliferation of data and the need for high (computational effort. The DisDaMin (Distributed Data Mining) project addressed distributed discovery and knowledge discovery through parallelization of data mining tasks. DisDaMin algorithms are based on the DG-ADAJ (Desktop-Grid Adaptive Application in Java), a middleware platform for Desktop Grid used as a deployment mechanism for DisDaMin algorithms. On the top of DG-ADAJ, SOA specific components could be employed to provide additional features and to improve current operation. An ESB (Enterprise Service Bus) built On the top of DG-ADAJ is going to provide improved availability, solve interoperability issues by exposing services through well established interfaces, and offer a loosely coupled infrastructure. An additional enactment layer is going to improve the performance of intelligent fragmentation of data, offering at the same time the necessary support for the execution of data workflows. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码：436 / 443
页数：8
相关论文
共 50 条
  • [31] Big Data Knowledge Mining
    Banuqitah, Huda Umar
    Eassa, Fathy
    Jambi, Kamal
    Abulkhair, Maysoon
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2016, 7 (11) : 180 - 189
  • [32] Data mining and knowledge discovery
    Trybula, WJ
    ANNUAL REVIEW OF INFORMATION SCIENCE AND TECHNOLOGY, 1997, 32 : 197 - 229
  • [33] Mining generalized knowledge from ordered data through attribute-oriented induction techniques
    Chen, YL
    Shen, CC
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2005, 166 (01) : 221 - 245
  • [34] Data feature oriented data partition and weighted data mining
    Wei, JM
    Yi, WG
    Wang, MY
    Wang, SQ
    ICIA 2004: PROCEEDINGS OF 2004 INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, 2004, : 287 - 291
  • [35] A Reference Architecture for Educational Data Mining
    de Almeida Neto, Francisco A.
    Castro, Alberto
    2017 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE), 2017,
  • [36] A web architecture for data mining in biology
    Doncescu, Andrei
    Farmer, Muhammad
    Inoue, Katsumi
    Richard, Gibes
    20TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS, VOL 2, PROCEEDINGS, 2006, : 607 - +
  • [37] A Distributed Architecture for Data Mining and Integration
    Atkinson, Malcolm P.
    van Hemert, Jano I.
    Han, Liangxiu
    Hume, Ally
    Liew, Chee Sun
    DADC 2009: SECOND INTERNATIONAL WORKSHOP ON DATA AWARE DISTRIBUTED COMPUTING, 2009, : 11 - 20
  • [38] A scalable data mining architecture for bioinformation
    Li, R
    Zhang, Z
    Cao, S
    Zhu, Y
    Li, Y
    DATA MINING IV, 2004, 7 : 583 - 592
  • [39] An architecture for distributed enterprise data mining
    Chattratichat, J
    Darlington, J
    Guo, Y
    Hedvall, S
    Köhler, M
    Syed, J
    HIGH-PERFORMANCE COMPUTING AND NETWORKING, PROCEEDINGS, 1999, 1593 : 573 - 582
  • [40] Data-mining application architecture
    Petersohn, H
    WIRTSCHAFTSINFORMATIK, 2004, 46 (01): : 15 - 21
12345