國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

New frontiers in mining complex patt...

(1998 :)

New frontiers in mining complex patterns6th International Workshop, NFMCP 2017, held in conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	New frontiers in mining complex patternsedited by Annalisa Appice ... [et al.].
其他題名:	6th International Workshop, NFMCP 2017, held in conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017 : revised selected papers /
其他題名:	NFMCP 2017
其他作者:	Appice, Annalisa.
團體作者:
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xii, 197 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Data miningCongresses.
電子資源:	http://dx.doi.org/10.1007/978-3-319-78680-3
ISBN:	9783319786803$q(electronic bk.)

New frontiers in mining complex patterns6th International Workshop, NFMCP 2017, held in conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017 : revised selected papers /
New frontiers in mining complex patterns6th International Workshop, NFMCP 2017, held in conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017 : revised selected papers /[electronic resource] :NFMCP 2017edited by Annalisa Appice ... [et al.]. - Cham :Springer International Publishing :2018. - xii, 197 p. :ill., digital ;24 cm. - Lecture notes in computer science,107850302-9743 ;. - Lecture notes in computer science ;4891..

Learning Association Rules for Pharmacogenomic Studies -- Segment-Removal Based Stuttered Speech Remediation -- Identifying lncRNA-disease Relationships via Heterogeneous Clustering -- Density Estimators for Positive-Unlabeled Learning -- Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum -- A Scaled-Correlation Based Approach for Defining and analyzing functional networks -- Complex Localization in the Multiple Instance Learning Context -- Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform -- Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or Clustered Load -- Phenotype Prediction with Semi-supervised Classification Trees -- Structuring the Output Space in Multi-label Classification by Using Feature Ranking -- Infinite Mixtures of Markov Chains -- Community-based Semantic Subgroup Discovery.

This book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 6th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2017, held in conjunction with ECML-PKDD 2017 in Skopje, Macedonia, in September 2017. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications. The workshop was aimed at discussing and introducing new algorithmic foundations and representation formalisms in complex pattern discovery. Finally, it encouraged the integration of recent results from existing fields, such as Statistics, Machine Learning and Big Data Analytics.

ISBN: 9783319786803$q(electronic bk.)

Standard No.: 10.1007/978-3-319-78680-3doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

New frontiers in mining complex patterns6th International Workshop, NFMCP 2017, held in conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017 : revised selected papers /
LDR:02882nmm a2200361 a 4500 001 533474
003 DE-He213
005 20180323105754.0
006 m d
007 cr nn 008maaau
008 181205s2018 gw s 0 eng d
020 $a 9783319786803$q(electronic bk.)
020 $a 9783319786797$q(paper)
024 7 $a 10.1007/978-3-319-78680-3 $2 doi
035 $a 978-3-319-78680-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a UNF $2 bicssc
072 7 $a UYQE $2 bicssc
072 7 $a COM021030 $2 bisacsh
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b N575 2017
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a New frontiers in mining complex patterns $h [electronic resource] : $b 6th International Workshop, NFMCP 2017, held in conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017 : revised selected papers / $c edited by Annalisa Appice ... [et al.].
246 3 $a NFMCP 2017
246 3 $a ECML-PKDD 2017
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xii, 197 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 10785
505 0 $a Learning Association Rules for Pharmacogenomic Studies -- Segment-Removal Based Stuttered Speech Remediation -- Identifying lncRNA-disease Relationships via Heterogeneous Clustering -- Density Estimators for Positive-Unlabeled Learning -- Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum -- A Scaled-Correlation Based Approach for Defining and analyzing functional networks -- Complex Localization in the Multiple Instance Learning Context -- Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform -- Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or Clustered Load -- Phenotype Prediction with Semi-supervised Classification Trees -- Structuring the Output Space in Multi-label Classification by Using Feature Ranking -- Infinite Mixtures of Markov Chains -- Community-based Semantic Subgroup Discovery.
520 $a This book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 6th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2017, held in conjunction with ECML-PKDD 2017 in Skopje, Macedonia, in September 2017. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications. The workshop was aimed at discussing and introducing new algorithmic foundations and representation formalisms in complex pattern discovery. Finally, it encouraged the integration of recent results from existing fields, such as Statistics, Machine Learning and Big Data Analytics.
650 0 $a Data mining $v Congresses. $3 380776
650 0 $a Pattern recognition systems $v Congresses. $3 387176
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Arithmetic and Logic Structures. $3 276274
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 274376
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
700 1 $a Appice, Annalisa. $3 675169
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-78680-3
950 $a Computer Science (Springer-11645)