Fuzzy data mining based on the compressed fuzzy FP-trees

Chun Wei Lin, Tzung Pei Hong, Wen-Hsiang Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we design the compressed fuzzy FP-tree structure to mine fuzzy frequent itemsets from the transactions with quantitative values. It consists of two phases. In the first phase, a compressed fuzzy frequent pattern tree (CFFP tree) is constructed from the given quantitative transactions. In the second phase, a fuzzy mining approach is then proposed to mine the fuzzy frequent itemsets from the CFFP tree constructed. Experiments are also made to show the performance of the proposed approach.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Fuzzy Systems - Proceedings
Pages1068-1072
Number of pages5
DOIs
Publication statusPublished - 2009 Dec 10
Event2009 IEEE International Conference on Fuzzy Systems - Jeju Island, Korea, Republic of
Duration: 2009 Aug 202009 Aug 24

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Other

Other2009 IEEE International Conference on Fuzzy Systems
CountryKorea, Republic of
CityJeju Island
Period09-08-2009-08-24

Fingerprint

Fuzzy Data
Data mining
Data Mining
Frequent Pattern
Frequent Itemsets
Experiments
Transactions
Tree Structure
Mining
Experiment

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Lin, C. W., Hong, T. P., & Lu, W-H. (2009). Fuzzy data mining based on the compressed fuzzy FP-trees. In 2009 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 1068-1072). [5277200] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2009.5277200
Lin, Chun Wei ; Hong, Tzung Pei ; Lu, Wen-Hsiang. / Fuzzy data mining based on the compressed fuzzy FP-trees. 2009 IEEE International Conference on Fuzzy Systems - Proceedings. 2009. pp. 1068-1072 (IEEE International Conference on Fuzzy Systems).
@inproceedings{bd146ea3fe0e4bc5afa2d1a4f961975f,
title = "Fuzzy data mining based on the compressed fuzzy FP-trees",
abstract = "In this paper, we design the compressed fuzzy FP-tree structure to mine fuzzy frequent itemsets from the transactions with quantitative values. It consists of two phases. In the first phase, a compressed fuzzy frequent pattern tree (CFFP tree) is constructed from the given quantitative transactions. In the second phase, a fuzzy mining approach is then proposed to mine the fuzzy frequent itemsets from the CFFP tree constructed. Experiments are also made to show the performance of the proposed approach.",
author = "Lin, {Chun Wei} and Hong, {Tzung Pei} and Wen-Hsiang Lu",
year = "2009",
month = "12",
day = "10",
doi = "10.1109/FUZZY.2009.5277200",
language = "English",
isbn = "9781424435975",
series = "IEEE International Conference on Fuzzy Systems",
pages = "1068--1072",
booktitle = "2009 IEEE International Conference on Fuzzy Systems - Proceedings",

}

Lin, CW, Hong, TP & Lu, W-H 2009, Fuzzy data mining based on the compressed fuzzy FP-trees. in 2009 IEEE International Conference on Fuzzy Systems - Proceedings., 5277200, IEEE International Conference on Fuzzy Systems, pp. 1068-1072, 2009 IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, Republic of, 09-08-20. https://doi.org/10.1109/FUZZY.2009.5277200

Fuzzy data mining based on the compressed fuzzy FP-trees. / Lin, Chun Wei; Hong, Tzung Pei; Lu, Wen-Hsiang.

2009 IEEE International Conference on Fuzzy Systems - Proceedings. 2009. p. 1068-1072 5277200 (IEEE International Conference on Fuzzy Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Fuzzy data mining based on the compressed fuzzy FP-trees

AU - Lin, Chun Wei

AU - Hong, Tzung Pei

AU - Lu, Wen-Hsiang

PY - 2009/12/10

Y1 - 2009/12/10

N2 - In this paper, we design the compressed fuzzy FP-tree structure to mine fuzzy frequent itemsets from the transactions with quantitative values. It consists of two phases. In the first phase, a compressed fuzzy frequent pattern tree (CFFP tree) is constructed from the given quantitative transactions. In the second phase, a fuzzy mining approach is then proposed to mine the fuzzy frequent itemsets from the CFFP tree constructed. Experiments are also made to show the performance of the proposed approach.

AB - In this paper, we design the compressed fuzzy FP-tree structure to mine fuzzy frequent itemsets from the transactions with quantitative values. It consists of two phases. In the first phase, a compressed fuzzy frequent pattern tree (CFFP tree) is constructed from the given quantitative transactions. In the second phase, a fuzzy mining approach is then proposed to mine the fuzzy frequent itemsets from the CFFP tree constructed. Experiments are also made to show the performance of the proposed approach.

UR - http://www.scopus.com/inward/record.url?scp=71249107864&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=71249107864&partnerID=8YFLogxK

U2 - 10.1109/FUZZY.2009.5277200

DO - 10.1109/FUZZY.2009.5277200

M3 - Conference contribution

AN - SCOPUS:71249107864

SN - 9781424435975

T3 - IEEE International Conference on Fuzzy Systems

SP - 1068

EP - 1072

BT - 2009 IEEE International Conference on Fuzzy Systems - Proceedings

ER -

Lin CW, Hong TP, Lu W-H. Fuzzy data mining based on the compressed fuzzy FP-trees. In 2009 IEEE International Conference on Fuzzy Systems - Proceedings. 2009. p. 1068-1072. 5277200. (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2009.5277200