• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Zhang, Lingxiao (Zhang, Lingxiao.) | Ping, Liu (Ping, Liu.) | Yang, Xinfeng (Yang, Xinfeng.)

Indexed by:

EI

Abstract:

Propose a candidate set in the case does not produce only scan through a database to extract the top-k strongly correlated item pairs method. Structural information using a relational database, an appropriate estimate of the effective threshold, so that the results in at least one project K to effectively solve the relational database on the Top-K strongly related to the problem of energysaving mining projects, and without paying too much computational cost. © Sila Science.

Keyword:

Algorithms Database systems Energy conservation

Author Community:

  • [ 1 ] [Zhang, Lingxiao]Beijing University of Technology, Beijing, China
  • [ 2 ] [Ping, Liu]Beijing University of Technology, Beijing, China
  • [ 3 ] [Yang, Xinfeng]Beijing University of Technology, Beijing, China

Reprint Author's Address:

Show more details

Related Keywords:

Related Article:

Source :

Energy Education Science and Technology Part A: Energy Science and Research

ISSN: 1308-772X

Year: 2013

Issue: 1

Volume: 31

Page: 545-548

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

Affiliated Colleges:

Online/Total:756/10569315
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.