Central Library

Advances in Knowledge Discovery and Data Mining (Record no. 52436)

000 -LEADER
fixed length control field 07649nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-319-18032-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420221248.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150508s2015 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319180328
-- 978-3-319-18032-8
082 04 - CLASSIFICATION NUMBER
Call Number 006.312
245 10 - TITLE STATEMENT
Title Advances in Knowledge Discovery and Data Mining
Sub Title 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XXIX, 773 p. 237 illus.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Opinion Mining and Sentiment Analysis -- Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model -- Parallel Recursive Deep Model for Sentiment Analysis -- Sentiment Analysis in Transcribed Utterances -- Rating Entities and Aspects Using a Hierarchical Model -- Sentiment Analysis on Microblogging by Integrating Text and Image Features -- TSum4act: A Framework for Retrieving and Summarizing Actionable Tweets during a Disaster for Reaction -- Clustering -- Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data -- Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints -- Spectral Clustering for Large-Scale Social Networks via a Pre-Coarsening Sampling Based Nystr�om Method -- pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts -- Clustering Over Data Streams Based on Growing Neural Gas -- Computing and Mining ClustCube Cubes Efficiently -- Outlier and Anomaly Detection Contextual Anomaly Detection Using Log-Linear Tensor Factorization -- A Semi-Supervised Framework for Social Spammer Detection -- Fast One-Class Support Vector Machine for Novelty Detection -- ND-SYNC: Detecting Synchronized Fraud Activities -- An Embedding Scheme for Detecting Anomalous Block Structured Graphs -- A Core-Attach Based Method for Identifying Protein Complexes in Dynamic PPI Networks -- Mining Uncertain and Imprecise Data Mining Uncertain Sequential Patterns in Iterative MapReduce -- Quality Control for Crowdsourced POI Collection -- Towards Efficient Sequential Pattern Mining in Temporal Uncertain Databases -- Preference-Based Top-k Representative Skyline Queries on Uncertain Databases -- Cluster Sequence Mining: Causal Inference with Time and Space Proximity under Uncertainty -- Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy -- Mining Temporal and Spatial Data Automated Classification of Passing in Football -- Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records -- Predicting Next Locations with Object Clustering and Trajectory Clustering -- A Plane Moving Average Algorithm for Short-Term Traffic Flow Prediction -- Recommending Profitable Taxi Travel Routes Based on Big Taxi Trajectories Data -- Semi Supervised Adaptive Framework for Classifying Evolving Data Stream -- Feature Extraction and Selection Cost-Sensitive Feature Selection on Heterogeneous Data -- A Feature Extraction Method for Multivariate Time Series Classification Using Temporal Patterns -- Scalable Outlying-Inlying Aspects Discovery via Feature Ranking -- A DC Programming Approach for Sparse Optimal Scoring -- Graph Based Relational Features for Collective Classification -- A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data -- Mining Heterogeneous, High Dimensional, and Sequential Data Seamlessly Integrating Effective Links with Attributes for Networked Data Classification -- Clustering on Multi-source Incomplete Data via Tensor Modeling and Factorization -- Locally Optimized Hashing for Nearest Neighbor Search -- Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems -- Efficient Discovery of Recurrent Routine Behaviours in Smart Meter Time Series by Growing Subsequences -- Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification -- Entity Resolution and Topic Modelling Clustering-Based Scalable Indexing for Multi-party Privacy-Preserving Record Linkage -- Efficient Interactive Training Selection for Large-Scale Entity Resolution -- Unsupervised Blocking Key Selection for Real-Time Entity Resolution -- Incorporating Probabilistic Knowledge into Topic Models -- Learning Focused Hierarchical Topic Models with Semi-Supervision in Microblogs -- Predicting Future Links Between Disjoint Research Areas Using Heterogeneous Bibliographic Information Network -- Itemset and High Performance Data Mining CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree -- Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets -- Mining High Utility Itemsets in Big Data -- Decomposition Based SAT Encodings for Itemset Mining Problems -- A Comparative Study on Parallel LDA Algorithms in MapReduce Framework -- Distributed Newton Methods for Regularized Logistic Regression -- Recommendation -- Coupled Matrix Factorization Within Non-IID Context -- Complementary Usage of Tips and Reviews for Location Recommendation in Yelp -- Coupling Multiple Views of Relations for Recommendation -- Pairwise One Class Recommendation Algorithm -- RIT: Enhancing Recommendation with Inferred Trust.
520 ## - SUMMARY, ETC.
Summary, etc This two-volume set, LNAI 9077 + 9078, constitutes the refereed proceedings of the 19th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015. The proceedings contain 117 paper carefully reviewed and selected from 405 submissions. They have been organized in topical sections named: social networks and social media; classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; outlier and anomaly detection; mining uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional, and sequential data; entity resolution and topic-modeling; itemset and high-performance data mining; and recommendations.
700 1# - AUTHOR 2
Author 2 Cao, Tru.
700 1# - AUTHOR 2
Author 2 Lim, Ee-Peng.
700 1# - AUTHOR 2
Author 2 Zhou, Zhi-Hua.
700 1# - AUTHOR 2
Author 2 Ho, Tu-Bao.
700 1# - AUTHOR 2
Author 2 Cheung, David.
700 1# - AUTHOR 2
Author 2 Motoda, Hiroshi.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-18032-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2015.
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-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information storage and retrieval.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information Storage and Retrieval.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 0302-9743 ;
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