Database and Expert Systems Applications: 30th International Conference, DEXA 2019, Linz, Austria, August 26–29, 2019, Proceedings, Part I: Lecture Notes in Computer Science, cartea 11706
Editat de Sven Hartmann, Josef Küng, Sharma Chakravarthy, Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalilen Limba Engleză Paperback – 3 aug 2019
The 32 full papers presented together with 34 short papers were carefully reviewed and selected from 157 submissions. The papers are organized in the following topical sections:
Part I: Big data management and analytics; data structures and data management; management and processing of knowledge; authenticity, privacy, security and trust; consistency, integrity, quality of data; decision support systems; data mining and warehousing.
Part II: Distributed, parallel, P2P, grid and cloud databases; information retrieval; Semantic Web and ontologies; information processing; temporal, spatial, and high dimensional databases; knowledge discovery; web services.
Toate formatele și edițiile | Preț | Express |
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Paperback (2) | 341.30 lei 6-8 săpt. | |
Springer International Publishing – 3 aug 2019 | 341.30 lei 6-8 săpt. | |
Springer International Publishing – 6 aug 2019 | 341.95 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783030276140
ISBN-10: 3030276147
Pagini: 447
Ilustrații: XXVI, 447 p. 233 illus., 111 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.66 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
ISBN-10: 3030276147
Pagini: 447
Ilustrații: XXVI, 447 p. 233 illus., 111 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.66 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
Cuprins
Big Data Management and Analytics.- Optimization of Row Pattern Matching over Sequence Data in Spark SQL.- Rainfall Estimation from Traffic Cameras.- Towards Identifying De-Anonymisation Risks in Distributed Health Data Silos.- An Attribute-Based Fine-Grained Access Control Mechanism for HBase.- Data Structures and Data Management.- Lopper: An Efficient Method for Online Log Pattern Mining based on Hybrid Clustering Tree.- Discord Monitoring for Streaming Time-series.- Partially Indexing on Flash Memory.- HGraph: A Connected-Partition Approach to Proximity Graphs for Similarity Search.- Management and Processing of Knowledge.- Statistical Processing of Stopwords on SNS.- Multiple Choice Question Answering in the Legal Domain Using Reinforced Co-occurrence.- Probabilistic Algorithm to Predict Missing Facts from Knowledge Graphs.- Semantic Oppositeness Embedding Using an Autoencoder-based Learning Model.- COMET: A Contextualized Molecule-based Matching Technique.-Authenticity, Privacy, Security and Trust.- Differentially Private Non-parametric Machine Learning as a Service.- PURE: A Privacy Aware Rule-Based Framework over Knowledge Graphs.- FFT-2PCA: a new Feature Extraction Method for Data-Based Fault Detection.- Consistency, Integrity, Quality of Data.- ADaQL to Monitor Data Quality in Machine Learning Applications.- Automated Detection and Monitoring of Advanced Data Quality Rules.- Effect of Imprecise Data Income-flow Variability on Harvest Stability: A Quantile-based Approach.- Decision Support Systems.- Fairness-enhancing interventions in stream classification.- Early turnover prediction of new restaurant employees from their attendance records and attributes.- An Efficient Premiumness and Utility-based Itemset Placement Scheme for Retail Stores.- Data Lakes: Trends and Perspectives.- An Efficient Greedy Algorithm for Sequence Recommendation.- Discovering Diverse Popular Paths using Transactional Modeling and Patter Mining.- Data Mining and Warehousing.- Representative Sample Extraction from Web Data Streams.- LogLInc: LoG Queries of Linked open data Investigator for Cube Design.- Handling the Information Backlog for Data Warehouse Development.- Ontario: Federated Query Processing against a Semantic Data Lake.- A Model-Driven Framework for the Modeling and the Description of Data-as-a-Service to Assist Service Selection and Composition.- Named Entity Recognition in Local Intent Web Search Queries.- Database Processing-in-Memory: A Vision.- Context-Aware GANs for Image Generation from Multimodal Queries.