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SDM
2003
SIAM
148views Data Mining» more  SDM 2003»
13 years 6 months ago
ATLaS: A Native Extension of SQL for Data Mining
A lack of power and extensibility in their query languages has seriously limited the generality of DBMSs and hampered their ability to support data mining applications. Thus, ther...
Haixun Wang, Carlo Zaniolo
DMIN
2006
125views Data Mining» more  DMIN 2006»
13 years 6 months ago
Biomedical Hypothesis Generation and Testing by Evolutionary Computation
- Filtering the immense amount of data available electronically over the World Wide Web is an important task of search engines in data mining applications. Users when performing se...
Robert Kozma, Anna L. Buczak
SIGMOD
2000
ACM
212views Database» more  SIGMOD 2000»
13 years 9 months ago
SQLEM: Fast Clustering in SQL using the EM Algorithm
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
Carlos Ordonez, Paul Cereghini
ICDCSW
2000
IEEE
13 years 9 months ago
Adding Mobility to Non-Mobile Web Robots
In this paper we will show that it is possible to combine mobile agent technology with existing non-mobile data mining applications. The motivation for this is the advantage mobil...
Nils P. Sudmann, Dag Johansen
ICANN
2005
Springer
13 years 10 months ago
Manifold Constrained Variational Mixtures
In many data mining applications, the data manifold is of lower dimension than the dimension of the input space. In this paper, it is proposed to take advantage of this additional ...
Cédric Archambeau, Michel Verleysen
ISDA
2005
IEEE
13 years 10 months ago
Smart Archive: a Component-based Data Mining Application Framework
Implementation of data mining applications is a challenging and complicated task, and the applications are often built from scratch. In this paper, a component-based application f...
Perttu Laurinen, Lauri Tuovinen, Juha Röning
IISWC
2006
IEEE
13 years 11 months ago
An Architectural Characterization Study of Data Mining and Bioinformatics Workloads
— Data mining is the process of automatically finding implicit, previously unknown, and potentially useful information from large volumes of data. Recent advances in data extrac...
Berkin Özisikyilmaz, Ramanathan Narayanan, Jo...
IISWC
2006
IEEE
13 years 11 months ago
MineBench: A Benchmark Suite for Data Mining Workloads
Abstract— Data mining constitutes an important class of scientific and commercial applications. Recent advances in data extraction techniques have created vast data sets, which ...
Ramanathan Narayanan, Berkin Özisikyilmaz, Jo...
ICDCS
2006
IEEE
13 years 11 months ago
ParRescue: Scalable Parallel Algorithm and Implementation for Biclustering over Large Distributed Datasets
Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
Jianhong Zhou, Ashfaq A. Khokhar
SGAI
2007
Springer
13 years 11 months ago
Metrics for Mining Multisets
Abstract. We propose a new class of distance measures (metrics) designed for multisets, both of which are a recurrent theme in many data mining applications. One particular instanc...
Walter A. Kosters, Jeroen F. J. Laros