Database Mining: A Performance Perspective.
Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami:
Database Mining: A Performance Perspective.
IEEE Trans. Knowl. Data Eng. 5(6): 914-925(1993)@article{DBLP:journals/tkde/AgrawalIS93,
author = {Rakesh Agrawal and
Tomasz Imielinski and
Arun N. Swami},
title = {Database Mining: A Performance Perspective},
journal = {IEEE Trans. Knowl. Data Eng.},
volume = {5},
number = {6},
year = {1993},
pages = {914-925},
ee = {db/journals/tkde/AgrawalIS93.html},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
The authors' perspective of database mining as the
confluence of machine learning techniques and the
performance emphasis of database technology is presented.
Three classes of database mining problems involving
classification, associations, and sequences are described.
It is argued that these problems can be uniformly viewed as
requiring discovery of rules embedded in massive amounts of
data. A model and some basic operations for the process of
rule discovery are described. It is shown how the database
mining problems considered map to this model, and how they
can be solved by using the basic operations proposed. An
example is given of an algorithm for classification obtained
by combining the basic rule discovery operations. This
algorithm is efficient in discovering classification rules
and has accuracy comparable to ID3, one of the best current
classifiers.
Copyright © 1993 by The Institute of
Electrical and Electronic Engineers, Inc. (IEEE).
Abstract used with permission.
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BibTeX
References
- [1]
- Rakesh Agrawal, Sakti P. Ghosh, Tomasz Imielinski, Balakrishna R. Iyer, Arun N. Swami:
An Interval Classifier for Database Mining Applications.
VLDB 1992: 560-573 BibTeX
- [2]
- Leo Breiman, J. H. Friedman, R. A. Olshen, C. J. Stone:
Classification and Regression Trees.
Wadsworth 1984, ISBN 0-534-98053-8
BibTeX
- [3]
- ...
- [4]
- ...
- [5]
- ...
- [6]
- ...
- [7]
- ...
- [8]
- Jiawei Han, Yandong Cai, Nick Cercone:
Knowledge Discovery in Databases: An Attribute-Oriented Approach.
VLDB 1992: 547-559 BibTeX
- [9]
- Ravi Krishnamurthy, Tomasz Imielinski:
Research Directions in Knowledge Discovery.
SIGMOD Record 20(3): 76-78(1991) BibTeX
- [10]
- ...
- [11]
- ...
- [12]
- Tarek M. Anwar, Howard W. Beck, Shamkant B. Navathe:
Knowledge Mining by Imprecise Querying: A Classification-Based Approach.
ICDE 1992: 622-630 BibTeX
- [13]
- J. Ross Quinlan:
Induction of Decision Trees.
Machine Learning 1(1): 81-106(1986) BibTeX
- [14]
- J. Ross Quinlan:
Simplifying Decision Trees.
International Journal of Man-Machine Studies 27(3): 221-234(1987) BibTeX
- [15]
- ...
- [16]
- ...
- [17]
- Gregory Piatetsky-Shapiro:
Discovery, Analysis, and Presentation of Strong Rules.
Knowledge Discovery in Databases 1991: 229-248 BibTeX
- [18]
- ...
- [19]
- Shalom Tsur:
Data Dredging.
IEEE Data Eng. Bull. 13(4): 58-63(1990) BibTeX
- [20]
- Jeffrey D. Ullman:
Principles of Database and Knowledge-Base Systems, Volume I.
Computer Science Press 1988, ISBN 0-7167-8158-1
Contents BibTeX
Referenced by
- Flip Korn, Alexandros Labrinidis, Yannis Kotidis, Christos Faloutsos:
Quantifiable Data Mining Using Ratio Rules.
VLDB J. 8(3-4): 254-266(2000)
- Sunil Choenni:
Design and Implementation of a Genetic-Based Algorithm for Data Mining.
VLDB 2000: 33-42
- Laks V. S. Lakshmanan, Fereidoon Sadri, Subbu N. Subramanian:
On Efficiently Implementing SchemaSQL on an SQL Database System.
VLDB 1999: 471-482
- Johannes Gehrke, Venkatesh Ganti, Raghu Ramakrishnan, Wei-Yin Loh:
BOAT-Optimistic Decision Tree Construction.
SIGMOD Conference 1999: 169-180
- Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan:
A Framework for Measuring Changes in Data Characteristics.
PODS 1999: 126-137
- Mohammed Javeed Zaki, Ching-Tien Ho, Rakesh Agrawal:
Parallel Classification for Data Mining on Shared-Memory Multiprocessors.
ICDE 1999: 198-205
- Colin L. Carter, Howard J. Hamilton:
Efficient Attribute-Oriented Generalization for Knowledge Discovery from Large Databases.
IEEE Trans. Knowl. Data Eng. 10(2): 193-208(1998)
- Claudio Bettini, Xiaoyang Sean Wang, Sushil Jajodia, Jia-Ling Lin:
Discovering Frequent Event Patterns with Multiple Granularities in Time Sequences.
IEEE Trans. Knowl. Data Eng. 10(2): 222-237(1998)
- Claudio Bettini, Xiaoyang Sean Wang, Sushil Jajodia:
Mining Temporal Relationships with Multiple Granularities in Time Sequences.
IEEE Data Eng. Bull. 21(1): 32-38(1998)
- Rajeev Rastogi, Kyuseok Shim:
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning.
VLDB 1998: 404-415
- Flip Korn, Alexandros Labrinidis, Yannis Kotidis, Christos Faloutsos:
Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining.
VLDB 1998: 582-593
- Johannes Gehrke, Raghu Ramakrishnan, Venkatesh Ganti:
RainForest - A Framework for Fast Decision Tree Construction of Large Datasets.
VLDB 1998: 416-427
- Soumen Chakrabarti, Sunita Sarawagi, Byron Dom:
Mining Surprising Patterns Using Temporal Description Length.
VLDB 1998: 606-617
- Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman, Shalom Tsur:
Dynamic Itemset Counting and Implication Rules for Market Basket Data.
SIGMOD Conference 1997: 255-264
- Sergey Brin, Rajeev Motwani, Craig Silverstein:
Beyond Market Baskets: Generalizing Association Rules to Correlations.
SIGMOD Conference 1997: 265-276
- Brian Lent, Arun N. Swami, Jennifer Widom:
Clustering Association Rules.
ICDE 1997: 220-231
- Tadeusz Morzy, Maciej Zakrzewicz:
SQL-Like Language for Database Mining.
ADBIS 1997: 311-317
- Hongjun Lu, Rudy Setiono, Huan Liu:
Effective Data Mining Using Neural Networks.
IEEE Trans. Knowl. Data Eng. 8(6): 957-961(1996)
- David Wai-Lok Cheung, Vincent T. Y. Ng, Ada Wai-Chee Fu, Yongjian Fu:
Efficient Mining of Association Rules in Distributed Databases.
IEEE Trans. Knowl. Data Eng. 8(6): 911-922(1996)
- Ming-Syan Chen, Jiawei Han, Philip S. Yu:
Data Mining: An Overview from a Database Perspective.
IEEE Trans. Knowl. Data Eng. 8(6): 866-883(1996)
- Tomasz Imielinski, Heikki Mannila:
A Database Perspective on Knowledge Discovery.
Commun. ACM 39(11): 58-64(1996)
- John C. Shafer, Rakesh Agrawal, Manish Mehta:
SPRINT: A Scalable Parallel Classifier for Data Mining.
VLDB 1996: 544-555
- Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama:
Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules.
VLDB 1996: 146-155
- Peter G. Selfridge, Divesh Srivastava, Lynn O. Wilson:
IDEA: Interactive Data Exploration and Analysis.
SIGMOD Conference 1996: 24-34
- Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama:
Data Mining Using Two-Dimensional Optimized Accociation Rules: Scheme, Algorithms, and Visualization.
SIGMOD Conference 1996: 13-23
- Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama:
Mining Optimized Association Rules for Numeric Attributes.
PODS 1996: 182-191
- Claudio Bettini, Xiaoyang Sean Wang, Sushil Jajodia:
Testing Complex Temporal Relationships Involving Multiple Granularities and Its Application to Data Mining.
PODS 1996: 68-78
- Chung-Sheng Li, Philip S. Yu, Vittorio Castelli:
HierarchyScan: A Hierarchical Similarity Search Algorithm for Databases of Long Sequences.
ICDE 1996: 546-553
- Manish Mehta, Rakesh Agrawal, Jorma Rissanen:
SLIQ: A Fast Scalable Classifier for Data Mining.
EDBT 1996: 18-32
- Hongjun Lu, Rudy Setiono, Huan Liu:
NeuroRule: A Connectionist Approach to Data Mining.
VLDB 1995: 478-489
- Rakesh Agrawal, King-Ip Lin, Harpreet S. Sawhney, Kyuseok Shim:
Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases.
VLDB 1995: 490-501
- Maurice A. W. Houtsma, Arun N. Swami:
Set-Oriented Mining for Association Rules in Relational Databases.
ICDE 1995: 25-33
- Sarabjot S. Anand, David A. Bell, John G. Hughes:
The Role of Domain Knowledge in Data Mining.
CIKM 1995: 37-43
- Rakesh Agrawal, Ramakrishnan Srikant:
Fast Algorithms for Mining Association Rules in Large Databases.
VLDB 1994: 487-499
- Christos Faloutsos, M. Ranganathan, Yannis Manolopoulos:
Fast Subsequence Matching in Time-Series Databases.
SIGMOD Conference 1994: 419-429
- Rakesh Agrawal, Michael J. Carey, Christos Faloutsos, Sakti P. Ghosh, Maurice A. W. Houtsma, Tomasz Imielinski, Balakrishna R. Iyer, A. Mahboob, H. Miranda, Ramakrishnan Srikant, Arun N. Swami:
Quest: A Project on Database Mining.
SIGMOD Conference 1994: 514
- Rakesh Agrawal:
Tutorial Database Mining.
PODS 1994: 75-76
- David A. Bell:
Value-Added Databases: Knowledge Discovery and Evidential Reasoning (Invited Paper).
ADBIS 1994: 2-9
- Christopher J. Matheus, Philip K. Chan, Gregory Piatetsky-Shapiro:
Systems for Knowledge Discovery in Databases.
IEEE Trans. Knowl. Data Eng. 5(6): 903-913(1993)
- Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami:
Mining Association Rules between Sets of Items in Large Databases.
SIGMOD Conference 1993: 207-216
BibTeX
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