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Advanced Data Mining and Applications : 13th International Conference, ADMA 2017, Singapore, November 5 6, 2017, Proceedings /

This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, held in Singapore in November 2017. The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers...

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Bibliographic Details
Corporate Authors: SpringerLink Online service
Group Author: Cong, Gao; Peng, Wen-Chih; Zhang, Wei Emma; Li, Chengliang; Sun, Aixin
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: Lecture Notes in Computer Science, 10604
Subjects:
Computer science
Computer communication systems
Data mining
Information Storage and Retrieval
Artificial intelligence
Text processing Computer science
Artificial Intelligence incl. Robotics
Data Mining and Knowledge Discovery
Information Systems Applications incl. Internet
Document Preparation and Text Processing
Computer Communication Networks
Online Access: http://dx.doi.org/10.1007/978-3-319-69179-4
Summary: This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, held in Singapore in November 2017. The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers were organized in topical sections named: database and distributed machine learning; recommender system; social network and social media; machine learning; classification and clustering methods; behavior modeling and user profiling; bioinformatics and medical data analysis; spatio-temporal data; n
Carrier Form: 1 online resource (XVII, 881 pages): illustrations.
ISBN: 9783319691794
Index Number: Q334
CLC: TP18-532
Contents: Database and Distributed Machine Learning -- Querying and Mining Strings Made Easy Distributed Training Large-Scale Deep Architectures -- Fault Detection and Localization in Distributed Systems using Recurrent Convolutional Neural Networks -- Discovering Group Skylines with Constraints by Early Candidate Pruning -- Comparing MapReduce-Based k-NN Similarity Joins On Hadoop For High-dimensional Data -- A Higher-Fidelity Frugal Quantile Estimator -- Recommender System -- Fair Recommendations Through Diversity Promotion -- A Hierarchical Bayesian Factorization Model for Implicit and Explicit Fee

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