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» Data Mining - Concepts and Techniques
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KDD
2000
ACM
110views Data Mining» more  KDD 2000»
13 years 11 months ago
An empirical analysis of techniques for constructing and searching k-dimensional trees
Affordable, fast computers with large memories have lessened the demand for program efficiency, but applications such as browsing and searching very large databases often have rat...
Douglas A. Talbert, Douglas H. Fisher
AICCSA
2006
IEEE
218views Hardware» more  AICCSA 2006»
14 years 1 months ago
Performance Comparison of Pattern Discovery Methods on Web Log Data
One of the popular trends in computer science has been development of intelligent web-based systems. Demand for such systems forces designers to make use of knowledge discovery te...
Murat Ali Bayir, Ismail H. Toroslu, Ahmet Cosar
ICDM
2003
IEEE
238views Data Mining» more  ICDM 2003»
14 years 28 days ago
Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques
We present Sentiment Analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents. Instead of classifying the sentiment of an entire document abou...
Jeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, ...
KDD
1999
ACM
152views Data Mining» more  KDD 1999»
13 years 12 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
ICDM
2003
IEEE
109views Data Mining» more  ICDM 2003»
14 years 28 days ago
Comparing Pure Parallel Ensemble Creation Techniques Against Bagging
We experimentally evaluate randomization-based approaches to creating an ensemble of decision-tree classifiers. Unlike methods related to boosting, all of the eight approaches co...
Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfi...