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Herausgegeben:Cong, Gao Li, Chengliang Sun, Aixin Zhang, Wei Emma Peng, Wen-Chih:

Advanced Data Mining and Applications - Taschenbuch

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[ED: Softcover], [PU: Springer / Springer International Publishing / Springer, Berlin], This book constitutes the refereed proceedings of the 13th International Conference on Advanced Dat… Mehr…

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Advanced Data Mining and Applications 13th International Conference, ADMA 2017, Singapore, November 5¿6, 2017, Proceedings - Cong, Gao (Herausgeber); Peng, Wen-Chih (Herausgeber); Sun, Aixin (Herausgeber); Li, Chengliang (Herausgeber); Zhang, Wei Emma (Herausgeber)
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Advanced Data Mining and Applications 13th International Conference, ADMA 2017, Singapore, November 5-6, 2017, Proceedings - Cong, Gao (Herausgeber); Peng, Wen-Chih (Herausgeber); Sun, Aixin (Herausgeber); Li, Chengliang (Herausgeber); Zhang, Wei Emma (Herausgeber)
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Cong, Gao (Herausgeber); Peng, Wen-Chih (Herausgeber); Sun, Aixin (Herausgeber); Li, Chengliang (Herausgeber); Zhang, Wei Emma (Herausgeber):
Advanced Data Mining and Applications 13th International Conference, ADMA 2017, Singapore, November 5-6, 2017, Proceedings - neues Buch

2017, ISBN: 3319691783

1st ed. 2017 Kartoniert / Broschiert Roboter - Robotik - Industrieroboter, Netzwerk-Hardware, Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Angewandte… Mehr…

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Cong, Gao|Peng, Wen-Chih|Zhang, Wei Emma|Li, Chengliang|Sun, Aixin:
Advanced Data Mining and Applications - Taschenbuch

2017, ISBN: 3319691783

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Advanced Data Mining and Applications
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9783319691787

Detailangaben zum Buch - Advanced Data Mining and Applications


EAN (ISBN-13): 9783319691787
ISBN (ISBN-10): 3319691783
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2017
Herausgeber: Springer International Publishing

Buch in der Datenbank seit 2017-09-28T12:46:43+02:00 (Zurich)
Detailseite zuletzt geändert am 2023-02-03T13:49:23+01:00 (Zurich)
ISBN/EAN: 9783319691787

ISBN - alternative Schreibweisen:
3-319-69178-3, 978-3-319-69178-7
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: wei zhang, cheng, gao, gào, chen chi
Titel des Buches: data mining, artificial intelligence, 2017, international conference proceedings, singapore

Daten vom Verlag:

Autor/in: Gao Cong; Wen-Chih Peng; Wei Emma Zhang; Chengliang Li; Aixin Sun
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Advanced Data Mining and Applications - 13th International Conference, ADMA 2017, Singapore, November 5–6, 2017, Proceedings
Verlag: Springer; Springer International Publishing
881 Seiten
Erscheinungsjahr: 2017-10-14
Cham; CH
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XVII, 881 p. 264 illus.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; artificial intelligence; machine learning; data mining; semantics; social networks; databases; natural language processing; text mining; recommender systems; behavior modeling; internet; world wide web; neural networks; data security; computational linguistics; support vector machines; Artificial Intelligence; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Computer and Information Systems Applications; Natural Language Processing (NLP); Computer Communication Networks; Data Mining; Wissensbasierte Systeme, Expertensysteme; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Angewandte Informatik; Natürliche Sprachen und maschinelle Übersetzung; Netzwerk-Hardware; EA

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; natural language processing and text mining; data mining applications; applications; and demos. 

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 Feedback Data.- Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities.- Group Recommender Model Based on Preference Interaction.- Identification of Grey Sheep Users By Histogram Intersection In Recommender Systems.- Social Network and Social Media.- A Feature-based Approach for the Redefined Link Prediction Problem in Signed Networks.- From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach.- Calling for Response: Automatically Distinguishing Situation-aware Tweets During Crises.- Efficient Revenue Maximization for Viral Marketing in Social Networks.- Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection on Social Disadvantage.- FRISK: A Multilingual Approach to Find twitteR InterestS via wiKipedia.- A Solution to Tweet-Based User Identification across Online Social Networks.- Machine Learning.- Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning.- Mixed Membership Sparse Gaussian Conditional Random Fields.- Effects of Dynamic Subspacing in Random Forest.- Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach.- Hybrid Subspace Mixture Models For Prediction and Anomaly Detection in High Dimensions.- Classification and Clustering Methods.-  StruClus: Scalable Structural Graph Set Clustering with Representative Sampling.- Employing Hierarchical Clustering and Reinforcement Learning for Attribute-based Zero-Shot Classification.- Environmental Sound Recognition using Masked Conditional Neural Networks.- Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure.- A Framework for Clustering and Dynamic Maintenance of XML Documents.- Language-independent Twitter Classification using Character-based Convolutional Networks.- Behavior Modeling and User Profiling.- Modeling Check-in Behavior with Geographical Neighborhood Influence of Venues.- An empirical study on collective online behaviors of extremist supporters. -Your Moves, Your Device: Establishing Behavior Profiles using Tensors.- An Approach for Identifying Author Profiles of Blogs.- Generating Topics of Interests for Research Communities.- An Evolutionary Approach for Learning Conditional Preference Network from Inconsistent Examples.- Bioinformatic and Medical Data Analysis.- Predicting Clinical Outcomes of Alzheimer's Disease from Complex Brain Networks.- Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties.- Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets.- Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers.- Spatio-temporal Data.- People-Centric Mobile Crowdsensing Platform for Urban Design.- Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining.- An Intelligent Weighted Fuzzy Time Series Model Based on A Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting.- Mobile Robot Scheduling with Multiple Trips and Time Windows.- Natural Language Processing and Text Mining.- Feature Analysis for Duplicate Detection in Programming QA Communities.- A Joint Human/Machine Process for Coding Events and Conflict Drivers.- Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning.- Improving Chinese Sentiment Analysis via Segmentation-based Representation Using Parallel CNN.- Entity Recognition by Distant Supervision with Soft List Constraint.- Structured Sentiment Analysis.- Data Mining Applications.- Improving Real-Time Bidding Using a Constrained Markov Decision Process.- PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network.- Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments.- Color-sketch simulator: a guide for color-based visual known-item search.- Applications.- Making Use of External Company Data to Improve the Classification of Bank Transactions.- Mining Load Profile Patterns for Australian Electricity Consumers.- STA: a Spatio-temporal Thematic Analytics Framework for Urban Ground Sensing.- Privacy and Utility Preservation for Location Data Using Stay Region Analysis.- Location-aware Human Activity Recognition.- Demos.- SWYSWYK: a new Sharing Paradigm for the Personal Cloud.- Tools and Infrastructure for Supporting Enterprise Knowledge Graphs.- An Interactive Web-based Toolset for Knowledge Discovery from Short Text Log Data.- Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media.- A system for Querying and Analyzing Urban Regions.- Detect tracking behavior among trajectory data.
Includes supplementary material: sn.pub/extras

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