Database Systems for Advanced Applications. DASFAA 2022 International Workshops, Rage
Автор: Guoliang Li; Jun Yang; Joao Gama; Juggapong Natwic Название: Database Systems for Advanced Applications ISBN: 3030185893 ISBN-13(EAN): 9783030185893 Издательство: Springer Рейтинг: Цена: 11459.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Hong Gao; Jinho Kim; Yasushi Sakurai Название: Database Systems for Advanced Applications ISBN: 3319320548 ISBN-13(EAN): 9783319320540 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Big Data Management and Service.- Big Data Quality Management.- Mobile of Internet.
Автор: Pei Название: Database Systems for Advanced Applications ISBN: 3319914510 ISBN-13(EAN): 9783319914510 Издательство: Springer Рейтинг: Цена: 14813.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Matthias Renz; Cyrus Shahabi; Xiaofang Zhou; Muham Название: Database Systems for Advanced Applications ISBN: 331918119X ISBN-13(EAN): 9783319181196 Издательство: Springer Рейтинг: Цена: 11180.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Hiroyuki Kitagawa; Yoshiharu Ishikawa; Wenjie Li; Название: Database Systems for Advanced Applications ISBN: 3642120253 ISBN-13(EAN): 9783642120251 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Shamkant B. Navathe; Weili Wu; Shashi Shekhar; Xia Название: Database Systems for Advanced Applications ISBN: 3319320246 ISBN-13(EAN): 9783319320243 Издательство: Springer Рейтинг: Цена: 10342.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Advanced database and web applications.-Big data.- Data mining.- Machine learning for database.- Data warehouse and OLAP.- Information retrieval.- Data model and query language.- Query processing.- Optimization.- Recommendation systems.- Data quality and credibility.- Multimedia databases.- Temporal and spatial databases.- Data streams and time-series data.- Semantic web and knowledge management.- Graph data management.- Social network analytics.- Bio and health informatics.- Blockchain and parallel/distributed systems.- Security.- Privacy and Trust.- Databases for emerging hardware.
Автор: An Liu; Yoshiharu Ishikawa; Tieyun Qian; Sarana Nu Название: Database Systems for Advanced Applications ISBN: 3319223232 ISBN-13(EAN): 9783319223230 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Advanced database and web applications.-Big data.- Data mining.- Machine learning for database.- Data warehouse and OLAP.- Information retrieval.- Data model and query language.- Query processing.- Optimization.- Recommendation systems.- Data quality and credibility.- Multimedia databases.- Temporal and spatial databases.- Data streams and time-series data.- Semantic web and knowledge management.- Graph data management.- Social network analytics.- Bio and health informatics.- Blockchain and parallel/distributed systems.- Security.- Privacy and Trust.- Databases for emerging hardware.
This volume constitutes the papers of several workshops which were held in conjunction with the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2021, held in Taipei, Taiwan, in April 2021.
The 29 revised full papers presented in this book were carefully reviewed and selected from 84 submissions.
DASFAA 2021 presents the following five workshops:
6th International Workshop on Big Data Quality Management (BDQM 2021) 5th International Workshop on Graph Data Management and Analysis (GDMA 2021) First International Workshop on Machine Learning and Deep Learning for Data Security Applications (MLDLDSA 2021) 6th International Workshop on Mobile Data Management, Mining, and Computing on Social Network (MobiSocial 2021) 2021 International Workshop on Mobile Ubiquitous Systems and Technologies (MUST 2021)
Due to the Corona pandemic this event was held virtually.
Автор: Zhifeng Bao; Goce Trajcevski; Lijun Chang; Wen Hua Название: Database Systems for Advanced Applications ISBN: 3319557041 ISBN-13(EAN): 9783319557045 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: The three-volume set LNCS 13245, 13246 and 13247 constitutes the proceedings of the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2022, held online, in April 2021. The total of 72 full papers, along with 76 short papers, are presented in this three-volume set was carefully reviewed and selected from 543 submissions. Additionally, 13 industrial papers, 9 demo papers and 2 PhD consortium papers are included. The conference was planned to take place in Hyderabad, India, but it was held virtually due to the COVID-19 pandemic.
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