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Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II 2015 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 773 pages, kõrgus x laius: 235x155 mm, 237 Illustrations, black and white; XXIX, 773 p. 237 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 9078
  • Ilmumisaeg: 21-Apr-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319180312
  • ISBN-13: 9783319180311
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  • Formaat: Paperback / softback, 773 pages, kõrgus x laius: 235x155 mm, 237 Illustrations, black and white; XXIX, 773 p. 237 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 9078
  • Ilmumisaeg: 21-Apr-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319180312
  • ISBN-13: 9783319180311
Teised raamatud teemal:

The two-volume proceedings, 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 total of 117 paper presented in the proceedings was 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-modelling; itemset and high performance data mining; and recommendation.

Opinion Mining and Sentiment Analysis
Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model
3(12)
Kai Gao
Hua Xu
Jiushuo Wang
Parallel Recursive Deep Model for Sentiment Analysis
15(12)
Changliang Li
Bo Xu
Gaowei Wu
Saike He
Guanhua Tian
Yujun Zhou
Sentiment Analysis in Transcribed Utterances
27(12)
Mr Ofek
Gilad Katz
Bracha Shapira
Yedidya Bar-Zev
Rating Entities and Aspects Using a Hierarchical Model
39(13)
Xun Wang
Katsuhito Sudoh
Masaaki Nagata
Sentiment Analysis on Microblogging by Integrating Text and Image Features
52(12)
Yaowen Zhang
Lin Shang
Xiuyi Jia
TSum4act: A Framework for Retrieving and Summarizing Actionable Tweets during a Disaster for Reaction
64(15)
Minh-Tien Nguyen
Asanobu Kitamoto
Tri-Thanh Nguyen
Clustering
Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data
79(13)
Peng Wang
Chuan Zhou
Peng Zhang
Weiwei Feng
Li Guo
Binxing Fang
Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints
92(14)
Cheng Li
Santu Rana
Dinh Phung
Svetha Venkatesh
Spectral Clustering for Large-Scale Social Networks via a Pre-Coarsening Sampling Based NystrOm Method
106(13)
Ying Kang
Bo Yu
Weiping Wang
Dan Meng
pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts
119(15)
Yisroel Mirsky
Bracha Shapira
Lior Rokach
Yuval Elovici
Clustering Over Data Streams Based on Growing Neural Gas
134(12)
Mohammed Ghesmoune
Mustapha Lebbah
Hanene Azzag
Computing and Mining ClustCube Cubes Efficiently
146(19)
Alfredo Cuzzocrea
Outlier and Anomaly Detection
Contextual Anomaly Detection Using Log-Linear Tensor Factorization
165(12)
Alpa Jayesh Shah
Christian Desrosiers
Robert Sabourin
A Semi-Supervised Framework for Social Spammer Detection
177(12)
Zhaoxing Li
Xianchao Zhang
Hua Shen
Wenxin Liang
Zengyou He
Fast One-Class Support Vector Machine for Novelty Detection
189(12)
Trung Le
Dinh Phung
Khanh Nguyen
Svetha Venkatesh
ND-Sync: Detecting Synchronized Fraud Activities
201(14)
Maria Giatsoglou
Despoina Chatzakou
Neil Shah
Alex Beutel
Christos Faloutsos
Athena Vakali
An Embedding Scheme for Detecting Anomalous Block Structured Graphs
215(13)
Lida Rashidi
Sutharshan Rajasegarar
Christopher Leckie
A Core-Attach Based Method for Identifying Protein Complexes in Dynamic PPI Networks
228(15)
Jiawei Luo
Chengchen Liu
Hoang Tu Nguyen
Mining Uncertain and Imprecise Data
Mining Uncertain Sequential Patterns in Iterative MapReduce
243(12)
Jiaqi Ge
Yuni Xia
Jian Wang
Quality Control for Crowdsourced POI Collection
255(13)
Shunsuke Kajimura
Yukino Baba
Hiroshi Kajino
Hisashi Kashima
Towards Efficient Sequential Pattern Mining in Temporal Uncertain Databases
268(12)
Jiaqi Ge
Yuni Xia
Jian Wang
Preference-Based Top-k Representative Skyline Queries on Uncertain Databases
280(13)
Ha Thanh Huynh Nguyen
Jinli Cao
Cluster Sequence Mining: Causal Inference with Time and Space Proximity under Uncertainty
293(12)
Yoshiyuki Okada
Ken-Ichi Fukui
Koichi Moriyama
Masayuki Numao
Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy
305(14)
Dong Huang
Shuguo Han
Xiaoli Li
Mining Temporal and Spatial Data
Automated Classification of Passing in Football
319(12)
Michael Horton
Joachim Gudmundsson
Sanjay Chawla
Joel Estephan
Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records
331(13)
Shivapratap Gopakumar
Tu Dinh Nguyen
Truyen Tran
Dinh Phung
Svetha Venkatesh
Predicting Next Locations with Object Clustering and Trajectory Clustering
344(13)
Meng Chen
Yang Liu
Xiaohui Yu
A Plane Moving Average Algorithm for Short-Term Traffic Flow Prediction
357(13)
Lei Lv
Meng Chen
Yang Liu
Xiaohui Yu
Recommending Profitable Taxi Travel Routes Based on Big Taxi Trajectories Data
370(13)
Wenxin Yang
Xin Wang
Seyyed Mohammadreza Rahimi
Jun Luo
Semi Supervised Adaptive Framework for Classifying Evolving Data Stream
383(14)
Ahsanul Haque
Latifur Khan
Michael Baron
Feature Extraction and Selection
Cost-Sensitive Feature Selection on Heterogeneous Data
397(12)
Wenbin Qian
Wenhao Shu
Jun Yang
Yinglong Wang
A Feature Extraction Method for Multivariate Time Series Classification Using Temporal Patterns
409(13)
Pei-Yuan Zhou
Keith C.C. Chan
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking
422(13)
Nguyen Xuan Vinh
Jeffrey Chan
James Bailey
Christopher Leckie
Kotagiri Ramamohanarao
Jian Pei
A DC Programming Approach for Sparse Optimal Scoring
435(12)
Hoai An Le Thi
Duy Nhat Phan
Graph Based Relational Features for Collective Classification
447(12)
Immanuel Bayer
Uwe Nagel
Steffen Rendle
A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data
459(14)
Thanh-Tung Nguyen
He Zhao
Joshua Zhexue Huang
Thuy Thi Nguyen
Mark Junjie Li
Mining Heterogeneous, High Dimensional, and Sequential Data
Seamlessly Integrating Effective Links with Attributes for Networked Data Classification
473(12)
Yangyang Zhao
Zhengya Sun
Changsheng Xu
Hongwei Hao
Clustering on Multi-source Incomplete Data via Tensor Modeling and Factorization
485(13)
Weixiang Shao
Lifang He
Philip S. Yu
Locally Optimized Hashing for Nearest Neighbor Search
498(12)
Seiya Tokui
Issei Sato
Hiroshi Nakagawa
Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems
510(12)
Noor Ifada
Richi Nayak
Efficient Discovery of Recurrent Routine Behaviours in Smart Meter Time Series by Growing Subsequences
522(12)
Jin Wang
Rachel Cardell-Oliver
Wei Liu
Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification
534(15)
Yi Zheng
Qi Liu
Enhong Chen
J. Leon Zhao
Liang He
Guangyi Lv
Entity Resolution and Topic Modelling
Clustering-Based Scalable Indexing for Multi-party Privacy-Preserving Record Linkage
549(13)
Thilina Ranbaduge
Dinusha Vatsalan
Peter Christen
Efficient Interactive Training Selection for Large-Scale Entity Resolution
562(12)
Qing Wang
Dinusha Vatsalan
Peter Christen
Unsupervised Blocking Key Selection for Real-Time Entity Resolution
574(12)
Banda Ramadan
Peter Christen
Incorporating Probabilistic Knowledge into Topic Models
586(12)
Liang Yao
Yin Zhang
Baogang Wei
Hongze Qian
Yibing Wang
Learning Focused Hierarchical Topic Models with Semi-Supervision in Microblogs
598(12)
Anton Slutsky
Xiaohua Hu
Yuan An
Predicting Future Links Between Disjoint Research Areas Using Heterogeneous Bibliographic Information Network
610(15)
Yakub Sebastian
Eu-Gene Siew
Sylvester Olubolu Orimaye
Itemset and High Performance Data Mining
CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree
625(12)
Ted Gueniche
Philippe Fournier-Viger
Rajeev Raman
Vincent S. Tseng
Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets
637(12)
Tayena Hendrickx
Boris Cule
Pieter Meysman
Stefan Naulaerts
Kris Laukens
Bart Goethals
Mining High Utility Itemsets in Big Data
649(13)
Ying Chun Lin
Cheng-Wei Wu
Vincent S. Tseng
Decomposition Based SAT Encodings for Itemset Mining Problems
662(13)
Said Jabbour
Lakhdar Sais
Yakoub Salhi
A Comparative Study on Parallel LDA Algorithms in MapReduce Framework
675(15)
Yang Gao
Zhenlong Sun
Yi Wang
Xiaosheng Liu
Jianfeng Yan
Jia Zeng
Distributed Newton Methods for Regularized Logistic Regression
690(17)
Yong Zhuang
Wei-Sheng Chin
Yu-Chin Juan
Chih-Jen Lin
Recommendation
Coupled Matrix Factorization Within Non-IID Context
707(13)
Fangfang Li
Guandong Xu
Longbing Cao
Complementary Usage of Tips and Reviews for Location Recommendation in Yelp
720(12)
Saurabh Gupta
Sayan Pathak
Bivas Mitra
Coupling Multiple Views of Relations for Recommendation
732(12)
Bin Fu
Guandong Xu
Longbing Cao
Zhihai Wang
Zhiang Wu
Pairwise One Class Recommendation Algorithm
744(12)
Huimin Qiu
Chunhong Zhang
Jiansong Miao
RIT: Enhancing Recommendation with Inferred Trust
756(13)
Guo Yan
Yuan Yao
Feng Xu
Jian Lu
Author Index 769