Cantitate/Preț
Produs
Total produse
Vezi coșul
Database and Expert Systems Applications de Sven Hartmann

Database and Expert Systems Applications: Lecture Notes in Computer Science

Editat de Sven Hartmann, Josef Küng, Sharma Chakravarthy, Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil
en Limba Engleză Paperback – 3 aug 2019
This two volume set of LNCS 11706 and LNCS 11707 constitutes the refereed proceedings of the 30th International Conference on Database and Expert Systems Applications, DEXA 2019, held in Linz, Austria, in August 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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 32894 lei  6-8 săpt.
  Springer International Publishing – 6 aug 2019 32894 lei  6-8 săpt.
Paperback (1) 33015 lei  6-8 săpt.
  Springer – 3 aug 2019 33015 lei  6-8 săpt.

Din seria Lecture Notes in Computer Science

Preț: 33015 lei

Preț vechi: 41269 lei
-20%

Puncte Express: 495
Preț estimativ în valută:
5843€ • 6829$ • 5073£

Carte tipărită la comandă

Livrare economică 20 februarie-06 martie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030276140
ISBN-10: 3030276147
Pagini: 476
Ilustrații: XXVI, 447 p. 233 illus., 111 illus. in color.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.72 kg
Ediția:1st ed. 2019
Editura: Springer
Seria Lecture Notes in Computer Science

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.