A service oriented architecture to provide data mining services for non-expert data miners

被引:42
|
作者
Zorrilla, Marta [1 ]
Garcia-Saiz, Diego [1 ]
机构
[1] Univ Cantabria, Dept Math Stat & Computat, E-39005 Santander, Spain
关键词
Analytics service; BI-as-a-Service; Knowledge discovery database; Data mining; Service-oriented architecture; Web Services; MANAGEMENT; RETENTION;
D O I
10.1016/j.dss.2012.05.045
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In today's competitive market, companies need to use discovery knowledge techniques to make better, more informed decisions. But these techniques are out of the reach of most users as the knowledge discovery process requires an incredible amount of expertise. Additionally, business intelligence vendors are moving their systems to the cloud in order to provide services which offer companies cost-savings, better performance and faster access to new applications. This work joins both facets. It describes a data mining service addressed to non-expert data miners which can be delivered as Software-as-a-Service. Its main advantage is that by simply indicating where the data file is, the service itself is able to perform all the process. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:399 / 411
页数:13
相关论文
共 50 条
  • [1] Data Mining Governance for Service Oriented Architecture
    Beklen, Ali
    Bilgin, Turgay Tugay
    SERVICE COMPUTATION 2010: THE SECOND INTERNATIONAL CONFERENCES ON ADVANCED SERVICE COMPUTING, 2010, : 121 - +
  • [2] A Goal-oriented Requirement Analysis Approach for the Selection of Data Mining Techniques for Non-Expert Users
    Espinosa, R.
    Aguilar, J. A.
    IEEE LATIN AMERICA TRANSACTIONS, 2018, 16 (04) : 1180 - 1185
  • [3] Knowledge Extracting System for Non-Expert Miners
    Ramya, P.
    Mohanavalli, S.
    Sasirekha, S.
    2014 INTERNATIONAL CONFERENCE ON COMMUNICATION AND NETWORK TECHNOLOGIES (ICCNT), 2014, : 158 - 161
  • [4] A frame work for mining huge data by non-expert users with the assistance of knowledge base
    Vijayalakshmi, K. N. V. S. K.
    Malathi, J.
    Krishnaveni, G.
    INTERNATIONAL CONFERENCE ON COMPUTER VISION AND MACHINE LEARNING, 2019, 1228
  • [5] Requirements taxonomy for automatic detection of data mining techniques for non-expert users.
    Espinosa Oliva, Roberto
    Jacobo Zubcoff, Jose
    Mazon, Jose-Norberto
    PROCEEDINGS OF THE 2016 35TH INTERNATIONAL CONFERENCE OF THE CHILEAN COMPUTER SCIENCE SOCIETY (SCCC), 2016,
  • [6] User Experience for Non-Expert Audiences in Data Exploration
    Tylosky, Natasha
    Knutas, Antti
    Qureshi, Majad
    Wolff, Annika
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON COMMUNITIES AND TECHNOLOGIES-HUMANIZATION OF DIGITAL TECHNOLOGIES, C&T 2023, 2023, : 12 - 16
  • [7] Using data mining to provide recommendation service
    Chen, Ruey-Shun
    Tsai, Yung-Shun
    Yeh, K. C.
    Sun, Chia-Ming
    Yu, D. H.
    Bak-Sau, Yip
    PROCEEDINGS OF THE WSEAS INTERNATIONAL CONFERENCE ON CIRCUITS, SYSTEMS, ELECTRONICS, CONTROL & SIGNAL PROCESSING: SELECTED TOPICS ON CIRCUITS, SYSTEMS, ELECTRONICS, CONTROL & SIGNAL PROCESSING, 2007, : 541 - +
  • [8] Using data mining to provide recommendation service
    Department of Information Management, China University of Technology, 530 Sec. 3 Chung Shan Road, Hukou, Hsinchu, Taiwan
    不详
    不详
    不详
    WSEAS Transactions on Information Science and Applications, 2008, 5 (04): : 459 - 474
  • [9] Connecting Sound to Data: Sonification Workshop Methods With Expert and Non-Expert Participants
    Pauletto, Sandra
    Seznec, Yann
    AES: Journal of the Audio Engineering Society, 1600, 72 (05): : 328 - 340
  • [10] Anteater: A service-oriented architecture for high-performance data mining
    Guedes, Dorgival
    Meira, Wagner, Jr.
    Ferreira, Renato
    IEEE INTERNET COMPUTING, 2006, 10 (04) : 36 - 43