Necip Fazil Ayan  Home/Search
Context
Related
| umd.edu/users/nfa/thesis.ps.gz 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: umd.edu/users/nfa/publications (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: UPDATING LARGE ITEMSETS WITH EARLY PRUNING Necip Fazil Ayan M.S. in Computer Engineering and Information Science Supervisor: Prof. Dr. Erol Arkun July, 1999 With the computerization of many business and government transactions, huge amounts of data have been stored in computers. The existing database systems do not provide the users with the necessary tools and functionalities to capture all stored information easily. Therefore, automatic knowledge discovery techniques have been developed ... (Update)
Similar documents (at the sentence level):
20.3%: An Efficient Algorithm To Update Large Itemsets With Early.. - Ayan, Tansel, Arkun (1999) (Correct)
Active bibliography (related documents): More All
0.8: Extended Concepts for Association Rule Discovery - Rantzau (1997) (Correct)
0.5: An Efficient Algorithm to Update Large Itemsets with Early.. - Ayan, Tansel, Arkun (1999) (Correct)
0.5: Association Rule Mining on Remotely Sensed Imagery Using P-Trees - Ding (2002) (Correct)
Similar documents based on text: More All
1.8: Hypergraph Based Declustering For Multi-Disk Databases - Koyuturk (2000) (Correct)
1.7: A Statistical Information Extraction System for Turkish - Tür (2000) (Correct)
1.4: Multilevel Heuristics For Task Assignment In Distributed Systems - Ikinci (1998) (Correct)
BibTeX entry: (Update)
@misc{ ayan-updating,
author = "Necip Fazil Ayan",
title = "Updating Large Itemsets with Early Pruning",
url = "citeseer.ist.psu.edu/ayan99updating.html" }
Citations (may not include all citations):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
400 Fast discovery of association rules (context) - Agrawal, Mannila et al. - 1996
340 Mining sequential patterns - Agrawal, Srikant - 1995
268 Mining generalized association rules - Srikant, Agrawal - 1995
242 Dynamic itemset counting and implication rules for market ba.. - Brin, Motwani et al. - 1997
213 Discovery of multiple level association rules from large dat.. - Han, Fu - 1995
209 Mining quantitative association rules in large relational ta.. - Srikant, Agrawal - 1996
189 Sampling large databases for association rules - Toivonen - 1996
189 Discovering frequent episodes in sequences (context) - Mannila, Toivonen et al. - 1995
164 An efficient algorithm for mining association rules in large.. (context) - Savasere, Omiecinski et al. - 1995
161 Exploratory mining and pruning optimizations of constrained .. - Ng, Lakshmanan et al. - 1998
157 Mining sequential patterns: Generalizations and performance .. - Srikant, Agrawal - 1996
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
121 Mining association rules with item constraints - Srikant, Vu et al. - 1997
121 Efficient algorithms for discovering association rules - Mannila, Toivonen et al. - 1994
117 IEEE Transactions on Knowledge and Data Engineering (context) - Agrawal, Shafer et al. - 1996
108 Efficiently mining long patterns from databases (context) - Bayardo - 1998
85 Discovering generalized episodes using minimal occurrences - Mannila, Toivonen - 1996
85 Constraint based rule mining in large (context) - Bayardo, Agrawal et al. - 1999
75 Rule discovery from time series - Das, Lin et al. - 1998
53 Knowledge discovery and data mining: Towards a unifying fram.. - Fayyad, Piatetsky-Shapiro et al. - 1996
51 Methods and problems in data mining - Mannila - 1997
48 Optimization of constrained frequent set queries with 2varia.. - Lakshmanan, Ng et al. - 1999
46 A perspective on databases and data mining - Holsheimer, Kersten et al. - 1995
45 Online association rule mining - Hidber - 1999
45 Set-oriented mining of association rules in relational datab.. (context) - Houtsma, Swami - 1995
42 On subjective measures of interestingness on knowledge disco.. - Silberschatz, Tuzhilin - 1995
41 Mining optimized association rules for numeric attributes (context) - Fukuda, Morimoto et al. - 1996
40 Cyclic association rules - Ozden, Ramaswamy et al. - 1998
36 Pruning and grouping discovered association rules - Toivonen, Klemettinen et al. - 1995
35 An effective hash based algorithm for mining association rul.. (context) - Park, Chen et al. - 1995
34 Efficient parallel data mining for association rules (context) - Park, Chen et al. - 1995
33 A general incremental technique for maintaining discovered a.. - Cheung, Lee et al. - 1997
31 Online generation of association rules - Aggarwal, Yu - 1998
29 An efficient algorithm for the incremental updation of assoc.. - Thomas, Bodagala et al. - 1997
29 the discovery of interesting patterns in association rules - Ramaswamy, Mahajan et al. - 1998
28 Efficient mining of partial periodic patterns in time series.. - Han, Dong et al. - 1999
23 From data mining to knowledge discovery: An overview (context) - Fayyad, Piatetsky-Shapiro et al. - 1996
19 A new framework for itemset generation - Aggarwal, Yu - 1998
18 Ratio rules: A new paradigm for fast (context) - Korn, Labrinidis et al. - 1998
17 Parallel algorithms for discovery of association rules - Zaki, Parthasarathy et al. - 1997
17 Mining optimized association rules with categorical and nume.. - Rastogi, Shim - 1998
16 Theoretical foundations of association rules - Zaki, Ogihara - 1998
15 Mining databases: Towards algorithms for knowledge discovery (context) - Fayyad - 1998
14 Data mining: Machine learning (context) - Mannila - 1996
12 Mining fuzzy association rules in databases - Kuok, Fu et al. - 1998
12 Data mining: An overview from database perspective (context) - Chen, Han et al. - 1996
11 Interestingness-- based interval merger for numeric associat.. - Wang, William et al. - 1998
10 Pattern directed mining of sequence data (context) - Guralnik, Wijesekera et al. - 1998
9 What makes patterns interesting in knowledge discovery syste.. - Silberschatz, Tuzhilin - 1996
8 Mining generalized association rules and sequential patterns.. - Thomas, Sarawagi - 1998
8 Evaluation of sampling for data mining of association rules - Zaki, Parthasarathy et al. - 1997
8 Mining association rules with weighted items - Cai, Fu et al. - 1998
8 Mining for strong negative associations in a large database .. - Savasere, Omiecinski et al. - 1998
6 User-assisted knowledge discovery: How much should the user .. - Silberschatz, Tuzhilin - 1996
5 Maintenance of discovered association rules in large databas.. - Cheung, Han et al. - 1996
5 An adaptive algorithm for incremental mining of association .. (context) - Sarda, Srinivas - 1998
5 New algorithms for fast discovery of association rules - Zaki, Parthasarathy et al. - 1997
5 Mining large itemsets for association rules - Aggarwal, Yu - 1998
4 Efficient mining of association rules in large dynamic datab.. (context) - Omiecinski, Savasere - 1998
4 An object-oriented approach to multilevel association rule m.. (context) - Fortin, Liu - 1996
3 Background for association rules and cost estimate of mining.. (context) - Han, Plank - 1996
3 Efficient mining of association rules in distributed databas.. - Cheung, Ng et al. - 1996
3 Mining association rules with adjustable accuracy (context) - Park, Chen et al. - 1997
1 Mining flexible multiple--level association rules in all con.. (context) - Shen, Shen - 1998
1 Finding fuzzy sets for the mining of fuzzy association rules.. - Fu, Wong et al. - 1998
Documents on the same site (http://ftp.cs.umd.edu/users/nfa/publications.html): More
An Efficient Algorithm to Update Large Itemsets with Early.. - Ayan, Tansel, Arkun (1999) (Correct)
Discovery of Association Rules in Temporal Databases - Tansel, Ayan (1998) (Correct)
An Efficient Algorithm To Update Large Itemsets With Early.. - Ayan, Tansel, Arkun (1999) (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