The search functionality is under construction.

IEICE TRANSACTIONS on Information

An Optimization Strategy for CFDMiner: An Algorithm of Discovering Constant Conditional Functional Dependencies

Jinling ZHOU, Xingchun DIAO, Jianjun CAO, Zhisong PAN

  • Full Text Views

    0

  • Cite this

Summary :

Compared to the traditional functional dependency (FD), the extended conditional functional dependency (CFD) has shown greater potential for detecting and repairing inconsistent data. CFDMiner is a widely used algorithm for mining constant-CFDs. But the search space of CFDMiner is too large, and there is still room for efficiency improvement. In this paper, an efficient pruning strategy is proposed to optimize the algorithm by reducing the search space. Both theoretical analysis and experiments have proved the optimized algorithm can produce the consistent results as the original CFDMiner.

Publication
IEICE TRANSACTIONS on Information Vol.E99-D No.2 pp.537-540
Publication Date
2016/02/01
Publicized
2015/11/06
Online ISSN
1745-1361
DOI
10.1587/transinf.2015EDL8170
Type of Manuscript
LETTER
Category
Artificial Intelligence, Data Mining

Authors

Jinling ZHOU
  PLA University of Science and Technology
Xingchun DIAO
  PLA University of Science and Technology
Jianjun CAO
  PLA University of Science and Technology
Zhisong PAN
  PLA University of Science and Technology

Keyword