Tools

LEADER 03576cam 2200481 a 4500

001 ocn154309055;

003 OCoLC;

005 20141212012044.0;

008 070629s2008 flua b 001 0 eng ;

010 a| 2007027465;

019 a| 144216838;

020 a| 9781584888789 (alk. paper);

020 a| 1584888784 (alk. paper);

029 1 a| NZ1b| 12542508;

029 1 a| NZ1b| 12542557;

035 a| (Sirsi) o154309055;

035 a| (OCoLC)154309055;

049 a| EREE;

050 00 a| QA76.9.D3b| C64 2008;

082 00 a| 005.742| 22;

245 00 a| Computational methods of feature selection /c| edited by Huan Liu, Hiroshi Motoda.;

300 a| 419 pages :b| illustrations ;c| 25 cm.;

336 a| text2| rdacontent;

337 a| unmediated2| rdamedia;

338 a| volume2| rdacarrier;

490 1 a| Chapman & Hall/CRC data mining and knowledge discovery series;

504 a| Includes bibliographical references and index.;

505 0 a| Less is more / Huan Liu and Hiroshi Motoda -- Unsupervised feature selection / Jennifer G. Dy -- Randomized feature selection / David J. Stracuzzi -- Causal feature selection / Isabelle Guyon, Constantin Aliferis, and André Elisseeff -- Active learning of feature relevance / Emanuele Olivetti, Sriharsha Veeramachaneni, and Paolo Avesani -- A study of feature extraction techniques based on decision border estimate / Claudia Diamantini and Domenico Potena -- Ensemble-based variable selection using independent probes / Eugene Tuv, Alexander Borisov, and Kari Torkkola -- Efficient incremental-ranked feature selection in massive data / Roberto Ruiz, Jesús S. Aguilar-Ruiz, and José C. Riquelme -- Non-myopic feature quality evaluation with (R)ReliefF / Igor Kononenko and Marko Robnik Šikonja -- Weighting method for feature selection in K-Means / Joshua Zhexue Huang ... [et al.] -- Local feature selection for classification / Carlotta Domeniconi and Dimitrios Gunopulos -- Feature weighting through local learning / Yijun Sun -- Feature selection for text classification / George Forman -- A Bayesian feature selection score based on naïve bayes models / Susana Eyheramendy and David Madigan -- Pairwise constraints-guided dimensionality reduction / Wei Tang and Shi Zhong -- Aggressive feature selection by feature ranking / Masoud Makrehchi and Mohamed S. Kamel -- Feature selection for genomic data analysis / Lei Yu -- A feature generation algorithm with applications to biological sequence classification / Rezarta Islamaj Dogan, Lise Getoor, and W. John Wilbur -- An ensemble method for identifying robust features for biomarker discovery / Diana Chan, Susan M. Bridges, and Shane C. Burgess -- Model building and feature selection with genomic data / Hui Zou and Trevor Hastie.;

650 0 a| Database management.=| ^A349280;

650 0 a| Data mining.=| ^A408868;

650 0 a| Machine learning.=| ^A145211;

700 1 a| Liu, Huan,d| 1958-=| ^A797175;

700 1 a| Motoda, Hiroshi.=| ^A409040;

830 0 a| Chapman & Hall/CRC data mining and knowledge discovery series.=| ^A786678;

994 a| C0b| ERE;

938 a| Baker & Taylorb| BKTYc| 89.95d| 89.95i| 1584888784n| 0006976858s| active;

938 a| Baker and Taylorb| BTCPn| BK0006976858;

938 a| YBP Library Servicesb| YANKn| 2585246;

596 a| 1;

998 a| 1454019;

999 a| QA76.9.D3 C64 2008w| LCc| 1i| 30372013096208d| 11/17/2017e| 9/7/2017f| 3/7/2013g| 1l| JGESm| JOYNERn| 1r| Ys| Yt| JGESBKu| 3/18/2009x| BOOKz| JSTACKSo| .STAFF. 0;

Computational methods of feature selection / edited by Huan Liu, Hiroshi Motoda.

Other author	Liu, Huan, 1958-
Other author	Motoda, Hiroshi.
Format	Book
Publication Info	Boca Raton : Chapman & Hall/CRC, ©2008.
Description	419 pages : illustrations ; 25 cm.
Subjects	Database management. Data mining. Machine learning.

Series	Chapman & Hall/CRC data mining and knowledge discovery series Chapman & Hall/CRC data mining and knowledge discovery series. ^A786678
Contents	Less is more / Huan Liu and Hiroshi Motoda -- Unsupervised feature selection / Jennifer G. Dy -- Randomized feature selection / David J. Stracuzzi -- Causal feature selection / Isabelle Guyon, Constantin Aliferis, and André Elisseeff -- Active learning of feature relevance / Emanuele Olivetti, Sriharsha Veeramachaneni, and Paolo Avesani -- A study of feature extraction techniques based on decision border estimate / Claudia Diamantini and Domenico Potena -- Ensemble-based variable selection using independent probes / Eugene Tuv, Alexander Borisov, and Kari Torkkola -- Efficient incremental-ranked feature selection in massive data / Roberto Ruiz, Jesús S. Aguilar-Ruiz, and José C. Riquelme -- Non-myopic feature quality evaluation with (R)ReliefF / Igor Kononenko and Marko Robnik Šikonja -- Weighting method for feature selection in K-Means / Joshua Zhexue Huang ... [et al.] -- Local feature selection for classification / Carlotta Domeniconi and Dimitrios Gunopulos -- Feature weighting through local learning / Yijun Sun -- Feature selection for text classification / George Forman -- A Bayesian feature selection score based on naïve bayes models / Susana Eyheramendy and David Madigan -- Pairwise constraints-guided dimensionality reduction / Wei Tang and Shi Zhong -- Aggressive feature selection by feature ranking / Masoud Makrehchi and Mohamed S. Kamel -- Feature selection for genomic data analysis / Lei Yu -- A feature generation algorithm with applications to biological sequence classification / Rezarta Islamaj Dogan, Lise Getoor, and W. John Wilbur -- An ensemble method for identifying robust features for biomarker discovery / Diana Chan, Susan M. Bridges, and Shane C. Burgess -- Model building and feature selection with genomic data / Hui Zou and Trevor Hastie.
Bibliography note	Includes bibliographical references and index.
LCCN	2007027465
ISBN	9781584888789 (alk. paper)
ISBN	1584888784 (alk. paper)

Availability

Library	Location	Call Number	Status	Item Actions
Joyner	General Stacks	QA76.9.D3 C64 2008	✔ Available	Place Hold

Computational methods of feature selection / edited by Huan Liu, Hiroshi Motoda.

Click here for more information about this title

Availability