Guoliang Li; Jun Yang; Joao Gama; Juggapong Natwic Database Systems for Advanced Applications 9783030185893

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Автор: Guoliang Li; Jun Yang; Joao Gama; Juggapong Natwic
Название: Database Systems for Advanced Applications
ISBN: 9783030185893
Издательство: Springer
Классификация:

Информационные технологии: общие вопросы

Сетевое оборудование

Базы данных

Извлечение знаний из данных

Компьютерная безопасность

Безопасность работы в компьютерных сетях

Искусственный интеллект

Экспертные системы / системы баз знаний

ISBN-10: 3030185893
Обложка/Формат: Soft cover
Страницы: 607
Вес: 0.96 кг.
Дата издания: 2019
Серия: Information Systems and Applications, incl. Internet/Web, and HCI
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 154 illustrations, color; 87 illustrations, black and white; xxi, 607 p. 241 illus., 154 illus. in color.
Размер: 234 x 156 x 32
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22–25, 2019, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
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 Alzheimers.- 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.-
Дополнительное 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-

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