Database Systems for Advanced Applications, Guoliang Li; Jun Yang; Joao Gama; Juggapong Natwic

Автор: Hiroyuki Kitagawa; Yoshiharu Ishikawa; Wenjie Li;
Название: Database Systems for Advanced Applications
ISBN: 3642120253 ISBN-13(EAN): 9783642120251
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The 39 revised full papers and 16 revised short papers presented together with 3 invited keynote papers, 22 demonstration papers, 6 industrial papers, and 2 keynote talks were carefully reviewed and selected from 285 submissions.

Автор: Sel?uk Candan; Lei Chen; Torben Bach Pedersen; Lij
Название: Database Systems for Advanced Applications
ISBN: 3319556983 ISBN-13(EAN): 9783319556987
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This two volume set LNCS 10177 and 10178 constitutes the refereed proceedings of the 22nd International Conference on Database Systems for Advanced Applications, DASFAA 2017, held in Suzhou, China, in March 2017. graph and network data processing;

Автор: Zhifeng Bao; Goce Trajcevski; Lijun Chang; Wen Hua
Название: Database Systems for Advanced Applications
ISBN: 3319557041 ISBN-13(EAN): 9783319557045
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This book constitutes the workshop proceedings of the 22nd International Conference on Database Systems for Advanced Applications, DASFAA 2017, held in Suzhou, China, in March 2017.

Автор: Sel?uk Candan; Lei Chen; Torben Bach Pedersen; Lij
Название: Database Systems for Advanced Applications
ISBN: 3319557521 ISBN-13(EAN): 9783319557526
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This two volume set LNCS 10177 and 10178 constitutes the refereed proceedings of the 22nd International Conference on Database Systems for Advanced Applications, DASFAA 2017, held in Suzhou, China, in March 2017. graph and network data processing;

Автор: Shamkant B. Navathe; Weili Wu; Shashi Shekhar; Xia
Название: Database Systems for Advanced Applications
ISBN: 3319320246 ISBN-13(EAN): 9783319320243
Издательство: Springer
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Цена: 10342.00 р.
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Описание: This two volume set LNCS 9642 and LNCS 9643 constitutesthe refereed proceedings of the 21st International Conference on DatabaseSystems for Advanced Applications, DASFAA 2016, held in Dallas, TX, USA, inApril 2016. The 61 full papers presented were carefully reviewed andselected from a total of 183 submissions.

Автор: Shamkant B. Navathe; Weili Wu; Shashi Shekhar; Xia
Название: Database Systems for Advanced Applications
ISBN: 3319320483 ISBN-13(EAN): 9783319320489
Издательство: Springer
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Цена: 8944.00 р.
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Описание: This two volume set LNCS 9642 and LNCS 9643 constitutes the refereed proceedings of the 21st International Conference on Database Systems for Advanced Applications, DASFAA 2016, held in Dallas, TX, USA, in April 2016. The 61 full papers presented were carefully reviewed and selected from a total of 183 submissions.

Автор: Pei
Название: Database Systems for Advanced Applications
ISBN: 3319914510 ISBN-13(EAN): 9783319914510
Издательство: Springer
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Цена: 14813.00 р.
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Автор: Guoliang Li; Jun Yang; Joao Gama; Juggapong Natwic
Название: Database Systems for Advanced Applications
ISBN: 3030185893 ISBN-13(EAN): 9783030185893
Издательство: Springer
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Цена: 11459.00 р.
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Описание:

The 6th International Workshop on Big Data Management and Service (BDSM 2019).- A Probabilistic Approach for Inferring Latent Entity Associations in Textual Web Contents.- UHRP Uncertainty-Based Pruning Method for Anonymized Data Linear Regression.- Meta-path based MiRNA-disease Association Prediction.- Medical Question Retrieval based on Siamese Neural Network and Transfer learning method.- An adaptive Kalman filter based Ocean Wave Prediction Model using Motion Reference Unit Data.- ASLM: Adaptive Single Layer Model for Learned Index.- SparseMAAC: Sparse Attention for Multi-Agent Reinforcement Learning.- The 4th International Workshop on Big Data Quality Management (BDQM 2019).- Identifying Reference Relationship of Desktop Files Based on Access Logs.- Visualization of Photo Album: Selecting a Representative Photo of a Specific Event.- Data Quality Management in Institutional Research Output Data Center.- Generalized Bayesian Structure Learning from Noisy Datasets.- The Third International Workshop on Graph Data Management and Analysis (GDMA 2019).- ANDMC: An Algorithm for Author Name Disambiguation Based on Molecular Cross Clustering.- Graph Based Aspect Extraction and Rating Classification of Customer Review Data.- Streaming Massive Electric Power Data Analysis Based on Spark Streaming.- Short Papers.- Deletion Robust k-Coverage Queries.- Episodic Memory Network with Self-Attention for Emotion Detection.- Detecting Suicidal Ideation with Data Protection in Online Communities.- Hierarchical Conceptual Labeling.- Anomaly Detection in Time-Evolving Attributed Networks.- A Multi-task Learning Framework for Automatic Early Detection of Alzheimer's.- Top-k Spatial Keyword Query with Typicality and Semantics.- Align Reviews with Topics in Attention Network for Rating Prediction.- PSMSP: A Parallelized Sampling-based Approach for Mining Top-k Sequential Patterns in Database Graphs.- Value-Oriented Ranking of Online Reviews Based on Reviewer-influenced Graph.- Ancient Chinese Landscape Painting Composition Classification by Using Semantic Variational Autoencoder.- Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories.- Hyper2vec: Biased Random Walk for Hyper-Network Embedding.- Privacy-preserving and dynamic spatial range aggregation query processing in wireless sensor networks.- Adversarial Discriminative Denoising for Distant Supervision Relation Extraction.- Nonnegative Spectral Clustering for Large-Scale Semi-Supervised Learning.- Distributed PARAFAC Decomposition Method based on In-Memory Big Data System.- GPU-Accelerated Dynamic Graph Coloring.- Relevance-based Entity Embedding.- An Iterative Map-Trajectory Co-Optimisation Framework Based on Map-Matching and Map Update.- Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding.- AGREE: Attentive Tour Group Recommendation with Multi-Modal Data.- Random Decision DAG: An Entropy Based Compression Approach for Random Forest.- Generating Behavior Features for Cold-Start Spam Review Detection.- TCL: Tensor-CNN-LSTM for Travel Time Prediction with Sparse Trajectory Data.- A Semi-supervised Classification Approach for Multiple Time-varying Networks with Total Variation.- Multidimensional Skylines Over Streaming Data.- A domain adaptation approach for multistream classification.- Gradient Boosting Censored Regression for Winning Price Prediction in Real-Time Bidding.- Deep Sequential Multi-task Modeling for Next Check-in Time and Location Prediction.- SemiSync: Semi-supervised Clustering by Synchronization.- Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors.- MVS-match: An Efficient Subsequence Matching Approach Based on the Series Synopsis.- Temporal-Spatial Recommendation for On-demand Cinemas.- Finding the key influences on the house price by Finite Mixture Model based on the real estate data in Changchun.-

Автор: Xiaofang Zhou; Haruo Yokota; Ke Deng; Qing Liu
Название: Database Systems for Advanced Applications
ISBN: 3642008860 ISBN-13(EAN): 9783642008863
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Constitutes the refereed proceedings of the 14th International Conference on Database Systems for Advanced Applications, DASFAA 2009, held in Brisbane, Australia, in April 2009. This title includes papers that are organized in topical sections on uncertain data and ranking, sensor networks, graphs, RFID and data streams, and XML data processing.

Автор: Hiroyuki Kitagawa; Yoshiharu Ishikawa; Qing Li; Ch
Название: Database Systems for Advanced Applications
ISBN: 3642120970 ISBN-13(EAN): 9783642120978
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Includes the refereed proceedings of the 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010, held in Tsukuba, Japan, in April 2010. This book contains sections on P2P-based technologies, data mining technologies, XML search and matching, graphs, spatial databases, XML technologies, and query processing.

Автор: Matthias Renz; Cyrus Shahabi; Xiaofang Zhou; Muham
Название: Database Systems for Advanced Applications
ISBN: 331918119X ISBN-13(EAN): 9783319181196
Издательство: Springer
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Цена: 11180.00 р.
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Описание: This two volume set LNCS 9049 and LNCS 9050 constitutes the refereed proceedings of the 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015, held in Hanoi, Vietnam, in April 2015. The papers cover the following topics: data mining; data streams and time series; information integration and data quality;

Автор: An Liu; Yoshiharu Ishikawa; Tieyun Qian; Sarana Nu
Название: Database Systems for Advanced Applications
ISBN: 3319223232 ISBN-13(EAN): 9783319223230
Издательство: Springer
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Цена: 7826.00 р.
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Описание: We asked all workshops to follow a rigid paper selection process, including the procedure to ensure that any Program Committee members are excluded from the paper review process of any paper they are involved with.