大葉大學圖書館 |

言語: 日文

Strengthening links between data ana...

Grzegorzewski, Przemyslaw.

Strengthening links between data analysis and soft computing[electronic resource] /

レコード種別:	言語・文字資料 (印刷物) : 単行資料
[NT 15000414] null:	006.3
タイトル / 著者:	Strengthening links between data analysis and soft computing/ edited by Przemyslaw Grzegorzewski ... [et al.].
その他の著者:	Grzegorzewski, Przemyslaw.
出版された:	Cham : : Springer International Publishing :, 2015.
記述:	306 p. : : ill., digital ;; 24 cm.
含まれています:	Springer eBooks
主題:	Soft computing
主題:	Engineering.
主題:	Computational Intelligence.
主題:	Artificial Intelligence (incl. Robotics)
国際標準図書番号 (ISBN) :	9783319107653 (electronic bk.)
国際標準図書番号 (ISBN) :	9783319107646 (paper)
[NT 15000228] null:	Soft methods in uncertainty modeling and processing -- Soft methods in statistics -- Soft methods in data analysis.
[NT 15000229] null:	This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics. Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.
電子資源:	http://dx.doi.org/10.1007/978-3-319-10765-3

Strengthening links between data analysis and soft computing[electronic resource] /
Strengthening links between data analysis and soft computing[electronic resource] /edited by Przemyslaw Grzegorzewski ... [et al.]. - Cham :Springer International Publishing :2015. - 306 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.3152194-5357 ;. - Advances in intelligent systems and computing ;v.281..

Soft methods in uncertainty modeling and processing -- Soft methods in statistics -- Soft methods in data analysis.

This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics. Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.

ISBN: 9783319107653 (electronic bk.)

Standard No.: 10.1007/978-3-319-10765-3doiSubjects--Topical Terms:

180022
Soft computing

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

Strengthening links between data analysis and soft computing[electronic resource] /
LDR:01786nam a2200325 a 4500 001 424661
003 DE-He213
005 20150603111728.0
006 m d
007 cr nn 008maaau
008 151119s2015 gw s 0 eng d
020 $a 9783319107653 (electronic bk.)
020 $a 9783319107646 (paper)
024 7 $a 10.1007/978-3-319-10765-3 $2 doi
035 $a 978-3-319-10765-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.S63
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.3 $2 23
090 $a QA76.9.S63 $b S915 2015
245 0 0 $a Strengthening links between data analysis and soft computing $h [electronic resource] / $c edited by Przemyslaw Grzegorzewski ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a 306 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5357 ; $v v.315
505 0 $a Soft methods in uncertainty modeling and processing -- Soft methods in statistics -- Soft methods in data analysis.
520 $a This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics. Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.
650 0 $a Soft computing $3 180022
650 1 4 $a Engineering. $3 372756
650 2 4 $a Computational Intelligence. $3 463962
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 463642
700 1 $a Grzegorzewski, Przemyslaw. $3 602700
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Advances in intelligent systems and computing ; $v v.281. $3 588653
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-10765-3
950 $a Engineering (Springer-11647)

～に基づいて 0 論評

マルチメディア (複合媒体資料)

マルチメディアファイル
http://dx.doi.org/10.1007/978-3-319-10765-3

論評

論評を追加あなたの考えを共有してください。

Export

受取館

	個人資料
	儲存檢索策略
	薦購
	預約/借閱記錄查詢
	訊息
	評論
	個人書籤

	簡單查詢
	進階查詢

	指定參考書
	新書通報
	新書書單RSS