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KDD
1997
ACM
161views Data Mining» more  KDD 1997»
14 years 3 months ago
Automated Discovery of Active Motifs in Three Dimensional Molecules
In this paper 1 we present a method for discovering approximately common motifs (also known as active motifs) in three dimensional (3D) molecules. Each node in a molecule is repre...
Xiong Wang, Jason Tsong-Li Wang, Dennis Shasha, Br...
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
14 years 3 months ago
Selecting Features by Vertical Compactness of Data
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
Ke Wang, Suman Sundaresh
KDD
1997
ACM
114views Data Mining» more  KDD 1997»
14 years 3 months ago
Schema Discovery for Semistructured Data
To formulate a meaningful query on semistructured data, such as on the Web, that matches some of the source’s structure, we need first to discover something about how the infor...
Ke Wang, Huiqing Liu
KDD
1997
ACM
117views Data Mining» more  KDD 1997»
14 years 3 months ago
Bayesian Inference for Identifying Solar Active Regions
Michael J. Turmon, Saleem Mukhtar, Judit Pap
KDD
1997
ACM
104views Data Mining» more  KDD 1997»
14 years 3 months ago
An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases
Efficient discover of association rules in large databases is a we 1 studied problem and several ap-1y proaches have been proposed. However, it is non trivial to maintain the asso...
Shiby Thomas, Sreenath Bodagala, Khaled Alsabti, S...
KDD
1997
ACM
105views Data Mining» more  KDD 1997»
14 years 3 months ago
A Visual Interactive Framework for Attribute Discretization
Ramesh Subramonian, Ramana Venkata, Joyce Chen
KDD
1997
ACM
184views Data Mining» more  KDD 1997»
14 years 3 months ago
JAM: Java Agents for Meta-Learning over Distributed Databases
In this paper, we describe the JAM system, a distributed, scalable and portable agent-based data mining system that employs a general approach to scaling data mining applications ...
Salvatore J. Stolfo, Andreas L. Prodromidis, Shell...
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
14 years 3 months ago
Mining Association Rules with Item Constraints
The problem of discovering association rules has received considerable research attention and several fast algorithms for mining association rules have been developed. In practice...
Ramakrishnan Srikant, Quoc Vu, Rakesh Agrawal
KDD
1997
ACM
169views Data Mining» more  KDD 1997»
14 years 3 months ago
Learning to Extract Text-Based Information from the World Wide Web
Thereis a wealthof informationto be minedfromnarrative text on the WorldWideWeb.Unfortunately, standard natural language processing (NLP)extraction techniques expect full, grammat...
Stephen Soderland
KDD
1997
ACM
143views Data Mining» more  KDD 1997»
14 years 3 months ago
Anytime Exploratory Data Analysis for Massive Data Sets
Exploratory data analysis is inherently an iterative, interactive endeavor. In the context of massive data sets, however, many current data analysis algorithms will not scale appr...
Padhraic Smyth, David Wolpert