Chun Hing Cai  Home/Search
Context Related
| cuhk.edu.hk/~kdd/assoc_rul...thesis.pdf Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: cuhk.edu.hk/~kdd/assoc_rule/ (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: Mining of association rules has been found useful in many applications. Many previous works focused on the basket (binary) association rules, which is in the form of "The transactions show that there are many customers who purchase product A will purchase the product B". All the products are treated uniformly, and all the rules are mined based on the counts of the products. However, in the social science research, the analysts maywant to mine the rules based on the importance of the products,... (Update)
Context of citations to this paper: More
...in data mining. We call a rule X Y , where X and Y are sets of items, a base rule [1] Over the years, different attributes [2, 5, 8, 9, 11, 16] were considered to create more informative rules which we refer to as variants. Usually, a variant of the base rule considers...
.... rules that consider di#erent parameters such as weights, quantities, multiple concepts) and how to e#ciently discover them [2, 4, 10, 12, 23, 29, 34, 37]. Research in the later category explores on other aspects of rule mining such as specifying constraints [25, 26, 31] and...
Cited by: More
FSSM: Fast Construction of the Optimized Segment Support Map - Ong, Ng, Lim (2003) (Correct)
CrystalClear: Active Visualization of Association Rules - Ong, Ong, Ng, Lim (Correct)
VDL: A Language for Active Mining Variants of Association Rules - Ong, Ng, Lim (Correct)
Similar documents (at the sentence level):
7.7%: Mining Association Rules with Weighted Items - Cai Ada Fu (1998) (Correct)
Active bibliography (related documents): More All
0.6: Entropy-based Subspace Clustering for Mining Numerical Data - Cheng (1999) (Correct)
0.5: Detecting Group Differences: Mining Contrast Sets - Bay, Pazzani (Correct)
0.3: MINTO: A Software Tool for Mining Manufacturing Databases - Haritsa (Correct)
Similar documents based on text: More All
0.3: Mining Fuzzy Association Rules - Chan, Au (1997) (Correct)
0.1: Discovery of Unknown Events From Multi-lingual News - Kin Hui And (2001) (Correct)
0.1: Productivity growth, increasing income inequality and social.. - Leung (2000) (Correct)
Related documents from co-citation: More All
7: Fast Algorithms for Mining Association Rules - Agrawal, Srikant - 1994
6: Discovery of multiple-level association rules from large databases - Han, Fu - 1995
5: Discovering frequent episodes in sequences (context) - Mannila, Toivonen et al. - 1995
BibTeX entry: (Update)
C. H. Cai, Ada Wai-Chee Fu, C. H. Cheng, and W. W. Kwong. Mining association rules with weighted items. In Proceedings of 1998 Intl. Database Engineering and Applications Symposium (IDEAS'98), pages 68--77, Cardiff, Wales, UK, July 1998. http://citeseer.ist.psu.edu/cai98mining.html More
@inproceedings{ cai98mining,
author = "C. H. Cai and Ada Wai-Chee Fu and C. H. Cheng and W. W. Kwong",
title = "Mining Association Rules with Weighted Items",
booktitle = "International Database Engineering and Application Symposium",
pages = "68-77",
year = "1998",
url = "citeseer.ist.psu.edu/cai98mining.html" }
Citations (may not include all citations):2177 Programs for Machine Learning (context) - Quinlan - 1993
957 The Probabilistic Method (context) - Alon, Spencer - 1992
921 Mining association rules between sets of items in large data.. - Agrawal, Imielinski et al. - 1993
910 Fast algorithms for mining association rules - Agrawal, Srikant - 1994
474 Advances in Knowledge Discovery and Data Mining (context) - Fayyad, Piatetsky-Shapiro - 1996
242 Dynamic itemset counting and implication rules for market ba.. - Brin, Motwani et al. - 1997
209 Mining quantitative association rules in large relational ta.. - Srikant, Agrawal - 1996
164 An efficient algorithm for mining association rules in large.. (context) - Savasere, Omiecinski et al. - 1995
156 Beyond market baskets: Generalizing association rules to cor.. - Brin, Motwani et al. - 1997
137 Finding interesting rules from large sets of discovered asso.. - Klemettinen, Mannila et al. - 1994
131 Data mining: An overview from database perspective - Chen, Han et al. - 1997
125 An effective hash-based algorithm for mining association rul.. - Park, Chen et al. - 1995
114 Data-driven discovery of quantitative rules in relational da.. (context) - Han, Cai et al. - 1993
94 Constructing optimal binary decision tree is np-complete (context) - Hyafil, Rivest - 1996
74 Data mining using two-dimensional optimized association rule.. (context) - Fukuda, Morimoto et al. - 1996
52 A fast distributed algorithm for mining association rules - Cheung, Han et al. - 1996
46 Devise: Integrated querying and visual exploration of large .. - Livny, Ramakrishnan et al. - 1997
41 Mining optimized association rules for numeric attributes (context) - Fukuda, Morimoto et al. - 1996
37 Data mining and knowledge discovery in databases (context) - Fayyad - 1994
37 Discovering all most specific sentences by randomized algori.. - Gunopulos, Mannila et al. - 1997
30 Efficient mining of association rules in distributed databas.. - Cheung, Ng et al. - 1996
24 Robust decision trees: Removing outliers from databases - John - 1995
14 Generalization and decision tree induction: Efficient classi.. - Kamber, Winstone et al. - 1997
13 Constructing efficient decision trees by using optimized num.. - Fukuda, Morimoto et al. - 1996
12 Mining fuzzy association rules in databases - Kuok, Fu et al. - 1998
10 Knowledge discovery in databases: A rule-based attribute-ori.. - Cheung, Fu et al. - 1994
9 Efficient algorithms for attribute-oriented induction (context) - Hwang, Fu - 1995
9 Sampling Techniques (context) - Cochran - 1977
8 Mining association rules with weighted items - Cai, Fu et al. - 1998
8 Knowledge discovery in telecommunication services data using.. (context) - Ezawa, Norton - 1995
8 Decision tree induction: How effective is the greedy heurist.. - Murthy, Salzberg - 1995
8 Quality Control and Industrial Statistics (context) - Duncan - 1986
5 Is sampling useful in data mining (context) - Lee, Cheung et al. - 1996
5 Discovering attribute dependence in databases byintegrating .. (context) - Imam, Michalski et al. - 1993
5 Dbminer: Interactive mining of multiple-level knowledge in r.. (context) - Han, Fu et al. - 1996
5 An attribute-oriented rough set approach for knowledge disco.. (context) - Hu, Cercone et al.
4 Learning in relational databases: A rough set approach (context) - Hu, Cercone - 1995
4 Using data cubes for metarule-guided mining of multi-dimensi.. - Han, Kamber et al. - 1997
3 Mining multi-dimensional association rules using data cubes (context) - Han, Kamber et al. - 1997
3 Prentice-Hall International Editions (context) - Freund, Fifth - 1993
2 an algorithm for finding all interesting sentences extended .. - Mannila, On - 1996
2 Integrated public use microdata series: Version (context) - Ruggles, Sobek - 1997
1 Acourse in Fuzzy Systems and Control (context) - Wang - 1997
1 A unified notion of outliners: Properties and computation (context) - Knorr, Ng - 1997
1 Integration of heuristic and bayesian approach in a pattern-.. (context) - Wu, Suetens et al. - 1991
1 Available techonlogy for discovering causal models (context) - Glymour - 1995
1 Geometric query model for accessing multidimensional data (context) - Sourina, Boey - 1996
1 103 Appendix A Generating a random number In generating the .. (context) - Zadeh, Informat et al. - 1965
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.cse.cuhk.edu.hk/~kdd/assoc_rule/):
Mining Association Rules with Weighted Items - Cai Ada Fu (1998) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC