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SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
13 years 9 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
ISBI
2007
IEEE
14 years 2 months ago
Prospecting for Live Cell Bioimaging Probes with Cheminformatic Assisted Image Array (caia)
Cheminformatic Assisted Image Array (CAIA) is a data mining and visualization tool linking chemical structures to microscope images of cells incubated with prospective bioimaging ...
Maria M. Posada, Kerby Shedden, Young Tae Chang, Q...
PKDD
2004
Springer
102views Data Mining» more  PKDD 2004»
14 years 1 months ago
Improving the Performance of the RISE Algorithm
Ideally, a multi-strategy learning algorithm performs better than its component approaches. RISE is a multi-strategy algorithm that combines rule induction and instance-based learn...
Aloísio Carlos de Pina, Gerson Zaverucha
CIARP
2007
Springer
13 years 11 months ago
Information Extraction and Classification from Free Text Using a Neural Approach
Many approaches to Information Extraction (IE) have been proposed in literature capable of finding and extract specific facts in relatively unstructured documents. Their applicatio...
Ignazio Gallo, Elisabetta Binaghi
PREMI
2005
Springer
14 years 1 months ago
Geometric Decision Rules for Instance-Based Learning Problems
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...