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Trends and applications in knowledge...

(1998 :)

Trends and applications in knowledge discovery and data miningPAKDD 2019 Workshops, BDM, DLKT, LDRC, PAISI, WeL, Macau, China, April 14-17, 2019 : 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 miningedited by Leong Hou U., Hady W. Lauw.
其他題名:	PAKDD 2019 Workshops, BDM, DLKT, LDRC, PAISI, WeL, Macau, China, April 14-17, 2019 : revised selected papers /
其他題名:	PAKDD 2019
其他作者:	U., Leong Hou.
團體作者:
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xiii, 366 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Data miningCongresses.
電子資源:	https://doi.org/10.1007/978-3-030-26142-9
ISBN:	9783030261429$q(electronic bk.)

Trends and applications in knowledge discovery and data miningPAKDD 2019 Workshops, BDM, DLKT, LDRC, PAISI, WeL, Macau, China, April 14-17, 2019 : revised selected papers /
Trends and applications in knowledge discovery and data miningPAKDD 2019 Workshops, BDM, DLKT, LDRC, PAISI, WeL, Macau, China, April 14-17, 2019 : revised selected papers /[electronic resource] :PAKDD 2019edited by Leong Hou U., Hady W. Lauw. - Cham :Springer International Publishing :2019. - xiii, 366 p. :ill., digital ;24 cm. - Lecture notes in computer science,116070302-9743 ;. - Lecture notes in computer science ;4891..

14th Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2019) -- A Supporting Tool for IT System Security Specification Evaluation Based on ISO/IEC 15408 and ISO/IEC 18045 -- An Investigation on Multi View based User Behavior towards Spam Detection in Social Networks -- A Cluster Ensemble Strategy for Asian Handicap Betting -- Designing an Integrated Intelligence Center: New Taipei City Police Department as an Example -- Early Churn User Classification in Social Networking Service Using Attention-based Long Short-Term Memory -- PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future (WeL 2019) -- Weakly Supervised Learning by a Confusion Matrix of Contexts -- Learning a Semantic Space for Modeling Images,Tags and Feelings in Cross-media Search -- Adversarial Active Learning in the Presence of Weak and Malicious Oracles -- The Most Related Knowledge First: A Progressive Domain Adaptation Method -- Learning Data Representation for Clustering (LDRC 2019) -- Deep Architectures for Joint Clustering and Visualization with Self-Organizing Maps -- Deep cascade of extra trees -- Algorithms for an Efficient Tensor Biclustering -- Change point detetion in periodic panel data using a mixture-model-based approach -- The 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining (BDM 2019) -- Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification -- Protein Complexes Detection Based on Deep Neural Network -- Predicting Auction Price of Vehicle License Plate with Deep Residual Learning -- Mining Multispectral Aerial Images for Automatic Detection of Strategic Bridge Locations for Disaster Relief Missions -- Chinese Word Segmentation with Feature Alignment -- Spike Sorting with Locally Weighted Co-association Matrix-based Spectral Clustering -- Label Distribution Learning Based Age-Invariant Face Recognition -- Overall Loss For Deep Neural Networks -- Sentiment Analysis Based on LSTM Architecture with Emoticon Attention -- Aspect Level Sentiment Analysis with Aspect Attention -- The 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer (DLKT 2019) -- Transfer Channel Pruning for Compressing Deep Domain Adaptation Models -- A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting -- Natural Language Business Intelligence Question Answering through SeqtoSeq Transfer Learning -- Robust Faster R-CNN:Increasing Robustness to Occlusions and multi-scale objects -- Effectively Representing Short Text via the Improved Semantic Feature Space Mapping -- Probabilistic Graphical Model Based Highly Scalable Directed Community Detection Algorithm -- Hilltop based recommendation in co-author networks -- Neural Variational Collaborative Filtering for Top-K Recommendation.

ISBN: 9783030261429$q(electronic bk.)

Standard No.: 10.1007/978-3-030-26142-9doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: QA76.9.D343 / P35 2019

Dewey Class. No.: 006.312

Trends and applications in knowledge discovery and data miningPAKDD 2019 Workshops, BDM, DLKT, LDRC, PAISI, WeL, Macau, China, April 14-17, 2019 : revised selected papers /
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