Titlebook: Computational Intelligence in Data Mining - Volume 3; Proceedings of the I Lakhmi C. Jain,Himansu Sekhar Behera,Durga Prasad Conference pr

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aplomb

A Novel Modified Apriori Approach for Web Document Clustering,an 10,000 documents and run both traditional apriori and our modified apriori approach on it. Experimental results show that our approach outperforms the traditional apriori algorithm in terms of database scan and improvement on association of analysis.

禁止

A Novel Feature Extraction and Classification Technique for Machine Learning Using Time Series and ned signal processing and statistical approach as Discrete Wavelet Transform (DWT) and Multidimensional Scaling (MDS) respectively then Support Vector Machine (SVM) has played a major role for classification of nonlinear, heterogeneous dataset.

Immobilize

Conference proceedings 2015tion for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.

abracadabra

Confess

https://doi.org/10.1007/978-3-540-92751-8ware development effort prediction, by tuning some algorithm specific parameters like learning rate and momentum. EBPN is trained with two benchmark data sets: China and Maxwell. Results are analyzed in terms of various measures and found to be satisfactory.

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mydriatic

Conference proceedings 2015science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two