東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Trends and applications in knowledge...

Pacific-Asia Conference on Knowledge Discovery and Data Mining (2017 :)

FindBook

Google Book

Amazon

博客來

Trends and applications in knowledge discovery and data mining = PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM Jeju, South Korea, May 23, 2017 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Trends and applications in knowledge discovery and data mining/ edited by U Kang ... [et al.].
其他題名:	PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM Jeju, South Korea, May 23, 2017 : revised selected papers /
其他題名:	PAKDD 2017
其他作者:	Kang, U.
團體作者:	Pacific-Asia Conference on Knowledge Discovery and Data Mining
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xiv, 203 p. :ill., digital ;24 cm.
內容註:	Early Classification of Multivariate Time Series on Distributed and In-Memory Platforms -- Behavior Classification of Dairy Cows fitted with GPS collars -- Dynamic Real-time Segmentation and Recongnition of Activities using a Multi-feature Windowing Approach -- Feature Extraction from EEG data for a P300 Based Brain-computer Interface -- Thermal Stratification Prediction at Lake Trevallyn -- Development of a Software Vulnerability Prediction Web Service based on Artificial Neural Networks -- Diversification Heuristics in Bees Swarm Optimization for Association Rules Mining -- Improved CFDP Algorithms Based on Shared Nearest Neighbors and Transitive Closure -- CNN-based Sequence Labeling for Fine-grained Opinion Mining of Microblogs -- A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles -- Self-Adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems -- Estimating Word Probabilities with Neural Networks in Latent Dirichlet Allocation -- GA-Apriori: Combining Apriori Heuristic and Genetic Algorithms for Solving the Frequent Itemsets Mining Problem -- Shelf Time Analysis in CTP Insurance Claims Processing -- Automated Product-Attribute Mapping -- A Novel Extreme Learning Machine-based Classification Algorithm for Uncertain Data -- SPGLAD: A Self-Paced Learning-based Crowdsourcing Classification Model.
Contained By:	Springer eBooks
標題:	Data mining - Congresses. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-67274-8
ISBN:	9783319672748

Trends and applications in knowledge discovery and data mining = PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM Jeju, South Korea, May 23, 2017 : revised selected papers /
Trends and applications in knowledge discovery and data miningPAKDD 2017 Workshops, MLSDA, BDM, DM-BPM Jeju, South Korea, May 23, 2017 : revised selected papers /[electronic resource] :PAKDD 2017edited by U Kang ... [et al.]. - Cham :Springer International Publishing :2017. - xiv, 203 p. :ill., digital ;24 cm. - Lecture notes in computer science,105260302-9743 ;. - Lecture notes in computer science ;10526..

Early Classification of Multivariate Time Series on Distributed and In-Memory Platforms -- Behavior Classification of Dairy Cows fitted with GPS collars -- Dynamic Real-time Segmentation and Recongnition of Activities using a Multi-feature Windowing Approach -- Feature Extraction from EEG data for a P300 Based Brain-computer Interface -- Thermal Stratification Prediction at Lake Trevallyn -- Development of a Software Vulnerability Prediction Web Service based on Artificial Neural Networks -- Diversification Heuristics in Bees Swarm Optimization for Association Rules Mining -- Improved CFDP Algorithms Based on Shared Nearest Neighbors and Transitive Closure -- CNN-based Sequence Labeling for Fine-grained Opinion Mining of Microblogs -- A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles -- Self-Adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems -- Estimating Word Probabilities with Neural Networks in Latent Dirichlet Allocation -- GA-Apriori: Combining Apriori Heuristic and Genetic Algorithms for Solving the Frequent Itemsets Mining Problem -- Shelf Time Analysis in CTP Insurance Claims Processing -- Automated Product-Attribute Mapping -- A Novel Extreme Learning Machine-based Classification Algorithm for Uncertain Data -- SPGLAD: A Self-Paced Learning-based Crowdsourcing Classification Model.

This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2017, held in conjunction with PAKDD, the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining in May 2017 in Jeju, South Korea. The 17 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM)

ISBN: 9783319672748

Standard No.: 10.1007/978-3-319-67274-8doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Trends and applications in knowledge discovery and data mining = PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM Jeju, South Korea, May 23, 2017 : revised selected papers /
LDR:03202nmm a2200349 a 4500 001 2110761
003 DE-He213
005 20171006155107.0
006 m d
007 cr nn 008maaau
008 180619s2017 gw s 0 eng d
020 $a 9783319672748 $q (electronic bk.)
020 $a 9783319672731 $q (paper)
024 7 $a 10.1007/978-3-319-67274-8 $2 doi
035 $a 978-3-319-67274-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a UYQ $2 bicssc
072 7 $a TJFM1 $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b P117 2017
111 2 $a Pacific-Asia Conference on Knowledge Discovery and Data Mining $n (21st : $d 2017 : $c Cheju-do, Korea) $3 3264123
245 1 0 $a Trends and applications in knowledge discovery and data mining $h [electronic resource] : $b PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM Jeju, South Korea, May 23, 2017 : revised selected papers / $c edited by U Kang ... [et al.].
246 3 $a PAKDD 2017
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xiv, 203 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 10526
505 0 $a Early Classification of Multivariate Time Series on Distributed and In-Memory Platforms -- Behavior Classification of Dairy Cows fitted with GPS collars -- Dynamic Real-time Segmentation and Recongnition of Activities using a Multi-feature Windowing Approach -- Feature Extraction from EEG data for a P300 Based Brain-computer Interface -- Thermal Stratification Prediction at Lake Trevallyn -- Development of a Software Vulnerability Prediction Web Service based on Artificial Neural Networks -- Diversification Heuristics in Bees Swarm Optimization for Association Rules Mining -- Improved CFDP Algorithms Based on Shared Nearest Neighbors and Transitive Closure -- CNN-based Sequence Labeling for Fine-grained Opinion Mining of Microblogs -- A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles -- Self-Adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems -- Estimating Word Probabilities with Neural Networks in Latent Dirichlet Allocation -- GA-Apriori: Combining Apriori Heuristic and Genetic Algorithms for Solving the Frequent Itemsets Mining Problem -- Shelf Time Analysis in CTP Insurance Claims Processing -- Automated Product-Attribute Mapping -- A Novel Extreme Learning Machine-based Classification Algorithm for Uncertain Data -- SPGLAD: A Self-Paced Learning-based Crowdsourcing Classification Model.
520 $a This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2017, held in conjunction with PAKDD, the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining in May 2017 in Jeju, South Korea. The 17 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM)
650 0 $a Data mining $v Congresses. $3 551626
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Health Informatics. $3 892928
650 2 4 $a Information Storage and Retrieval. $3 761906
650 2 4 $a Information Systems Applications (incl. Internet) $3 1565452
650 2 4 $a Computation by Abstract Devices. $3 891207
700 1 $a Kang, U. $3 3264124
710 2 $a SpringerLink (Online service) $3 836513
711 2 $a Workshop on Machine Learning for Sensory Data Analysis $d (2017 : $c Cheju Island, Korea) $3 3264126
711 2 $a Workshop on Biologically Inspired Data-Mining Techniques $d (2017 : $c Cheju Island, Korea) $3 3264127
711 2 $a Workshop on Data Mining in Business Process Management $d (2017 : $c Cheju Island, Korea) $3 3264128
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 10526. $3 3264125
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-67274-8
950 $a Computer Science (Springer-11645)