Trends and Applications in Knowledge Discovery and Data Mining
PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, Ho Chi Minh City, Vietnam, May 19-21, 2015. Revised Selected Papers
Published on 26. November 2015
Book
Paperback/Softback
XV, 289 pages
978-3-319-25659-7 (ISBN)
Description
This book constitutes the refereed proceedings at PAKDD Workshops 2015, held in conjunction with PAKDD, the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Ho Chi Minh City, Vietnam, in May 2015. The 23 revised papers presented were carefully reviewed and selected from 57 submissions. The workshops affiliated with PAKDD 2015 include: Pattern Mining and Application of Big Data (BigPMA), Quality Issues, Measures of Interestingness and Evaluation of data mining models (QIMIE), Data Analytics for Evidence-based Healthcare (DAEBH), Vietnamese Language and Speech Processing (VLSP).
More details
Series
Edition
1st ed. 2015
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
91 s/w Abbildungen
XV, 289 p. 91 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 17 mm
Weight
470 gr
ISBN-13
978-3-319-25659-7 (9783319256597)
DOI
10.1007/978-3-319-25660-3
Schweitzer Classification
Other editions
Additional editions
Xiao-Li Li | Tru Cao | Ee-Peng Lim
Trends and Applications in Knowledge Discovery and Data Mining
PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, Ho Chi Minh City, Vietnam, May 19-21, 2015. Revised Selected Papers
E-Book
11/2015
Springer
€50.28
Available for download
Persons
Content
ProbitUCB: A Novel Method for Review
Ranking. From Cluster-based Outlier Detection to Time Series Discord Discovery.-
Web site audience segmentation using hybrid alignment techniques.- Mining
Massive-Scale Spatiotemporal Trajectories in Parallel: A Survey.- Manifold
Regularized Symmetric Joint Link Model for Overlapping Community Detection.- High
Dimensional Explicit Feature Biased Matrix Factorization Recommendation.- A
Simhash-based Generalized Framework for Citation Matching in MapReduce.- A
Cloud Based Diabetes Lifestyle Management System.- Construction of a prediction
model for nephropathy among obese patients using genetic and clinical features.-
A Research of Applying Association Rules and Decision Tree to Endometriosis.- A
Dynamic Feature Selection Based LDA Approach to Baseball Pitch Prediction.- A
Study of Interestingness Measures for Associative Classification on Imbalanced
Data.- Evaluation of Community Mining Algorithms in the Presence of Attributes.-
Leveraging the Common Cause of Errors for Constraint-based Data Cleansing Analyzing
User Behaviors Based on Temporal Patterns of Sequential Pattern Evaluation
Indices on Twitter.- Model Selection of Symbolic Regression to Improve the
Accuracy of PM 2.5 Concentration Prediction.- Internal Clustering Evaluation of
Data Streams.- Feature maximization based clustering quality evaluation: a
promising approach.- Integrating Content Centric Networking and Web Content Mining:
A Future Efficient Internet Architecture forHealthcare.- Citation enrichment improves deduplication of primary evidence.- Learning Entry Profiles of Children with Autism from Multivariate Treatment Information using Restricted Boltzmann Machines.- Fast Dependency Parsing using Distributed Word Representations.- Modeling Vietnamese speech prosody: A step-by-step approach towards an expressive speech synthesis system.