Trends and Applications in Knowledge Discovery and Data Mining : PAKDD 2019 Workshops, BDM, DLKT, LDRC, PAISI, WeL, Macau, China, April 14-17, 2019, Revised Selected Papers / edited by Leong Hou U., Hady W. Lauw.

Format:

Book

Contributor:

U, Leong Hou, Editor.

Lauw, Hady W., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 11607

Lecture Notes in Artificial Intelligence, 2945-9141 ; 11607

Language:

English

Subjects (All):

Artificial intelligence.

Application software.

Data mining.

Computer vision.

Social sciences-Data processing.

Data protection.

Artificial Intelligence.

Computer and Information Systems Applications.

Data Mining and Knowledge Discovery.

Computer Vision.

Computer Application in Social and Behavioral Sciences.

Data and Information Security.

Local Subjects:

Artificial Intelligence.

Computer and Information Systems Applications.

Data Mining and Knowledge Discovery.

Computer Vision.

Computer Application in Social and Behavioral Sciences.

Data and Information Security.

Physical Description:

1 online resource (XIII, 366 pages) : 162 illustrations, 115 illustrations in color.

Edition:

1st ed. 2019.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, in Macau, China, in April 2019. The 31 revised papers presented were carefully reviewed and selected from a total of 52 submissions. They stem from the following workshops: · PAISI 2019: 14th Pacific Asia Workshop on Intelligence and Security Informatics · WeL 2019: PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future · LDRC 2019: PAKDD 2019 Workshop on Learning Data Representation for Clustering · BDM 2019: 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining · DLKT 2019: 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer.

Contents:

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. .

Other Format:

Printed edition:

ISBN:

978-3-030-26142-9

9783030261429

Access Restriction:

Restricted for use by site license.