Sciweavers

KDD
2002
ACM
170views Data Mining» more  KDD 2002»
15 years 25 days ago
On interactive visualization of high-dimensional data using the hyperbolic plane
: se the concept of visualizing general abstract data by intermediate projection into the hyperbolic space. Its favorable properties were reported earlier and led to the "hype...
Helge Ritter, Jörg A. Walter
KDD
2002
ACM
146views Data Mining» more  KDD 2002»
15 years 25 days ago
Non-linear dimensionality reduction techniques for classification and visualization
Michail Vlachos, Carlotta Domeniconi, Dimitrios Gu...
KDD
2002
ACM
214views Data Mining» more  KDD 2002»
15 years 25 days ago
Privacy preserving association rule mining in vertically partitioned data
Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining where transactions are distributed across sources. Each si...
Jaideep Vaidya, Chris Clifton
KDD
2002
ACM
150views Data Mining» more  KDD 2002»
15 years 25 days ago
Querying multiple sets of discovered rules
Rule mining is an important data mining task that has been applied to numerous real-world applications. Often a rule mining system generates a large number of rules and only a sma...
Alexander Tuzhilin, Bing Liu
KDD
2002
ACM
145views Data Mining» more  KDD 2002»
15 years 25 days ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius
KDD
2002
ACM
130views Data Mining» more  KDD 2002»
15 years 25 days ago
Learning domain-independent string transformation weights for high accuracy object identification
The task of object identification occurs when integrating information from multiple websites. The same data objects can exist in inconsistent text formats across sites, making it ...
Sheila Tejada, Craig A. Knoblock, Steven Minton
KDD
2002
ACM
122views Data Mining» more  KDD 2002»
15 years 25 days ago
Hierarchical model-based clustering of large datasets through fractionation and refractionation
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
KDD
2002
ACM
106views Data Mining» more  KDD 2002»
15 years 25 days ago
Selecting the right interestingness measure for association patterns
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
15 years 25 days ago
Exploiting response models: optimizing cross-sell and up-sell opportunities in banking
The banking industry regularly mounts campaigns to improve customer value by offering new products to existing customers. In recent years this approach has gained significant mome...
Andrew Storey, Marc-David Cohen
KDD
2002
ACM
193views Data Mining» more  KDD 2002»
15 years 25 days ago
Query, analysis, and visualization of hierarchically structured data using Polaris
In the last several years, large OLAP databases have become common in a variety of applications such as corporate data warehouses and scientific computing. To support interactive ...
Chris Stolte, Diane Tang, Pat Hanrahan