Описание: This bookpresents some of the emerging techniques and technologies used to handle Webdata management. The Volume will be a valuable reference toresearchers, students and practitioners in the field of Web data management,cloud computing, social networks using advanced intelligence tools.
Автор: Anne Hakansson; Ronald Hartung Название: Agent and Multi-Agent Systems: Technologies and Applications ISBN: 3642016642 ISBN-13(EAN): 9783642016646 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Third KES International Symposium KESAMSTA 2009 Uppsala Sweden June 35 2009 Proceedings. .
Автор: Milazzo Название: Software Technologies: Applications and Foundations ISBN: 3319502298 ISBN-13(EAN): 9783319502298 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains the thoroughly refereed technical papers presented in six workshops collocated with the International Conference on Software Technologies: Applications and Foundations, STAF 2016, held in Vienna, Austria, in July 2016.
Автор: Morishima Название: Web Technologies and Applications ISBN: 3319458345 ISBN-13(EAN): 9783319458342 Издательство: Springer Рейтинг: Цена: 8106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Maximizing the Cooperative Influence Spread in a Social Network Oriented to Viral Marketing.- A Multi-Model Based Approach for Big Data Analytics: the Case on Education Grant Distribution.- Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog.- EMD-DSJoin: Efficient Similarity Join over Probabilistic Data Streams Based on Earth Mover's Distance.- Sentiment Analysis on User Reviews through Lexicon and Rule-based Approach.- Social Link Prediction Based on the Nodes' Information Transfer.- An Improved ML-kNN Approach Based on Coupled Similarity.- A Novel Recommendation Method Based on User's Interest and Heterogeneous Information.- Knee point-driven bottleneck detection algorithm for cloud service system.- Confirmatory Analysis on Influencing Factors When Mention Users in Twitter.- A stock recommendation strategy based on M-LDA model.- Short-term Forecasting and Application about Indoor Cooling Load Based on EDA-PSO-BP Algorithm.- Identifying Relevant Subgraphs in Large networks.- User-dependent Multi-relational Community Detection in Social Networks.- Compressing Streaming Graph Data Based on Triangulation.- Scene Classification in High Resolution Remotely Sensed Images based on PCANet.- Finding Top-k Places for Group Social Activities.- Temporal Spatial-Keyword Search On Databases Using SQL.- Features of Rumor Spreading on WeChat Moments.- Distance-Based Continuous Skylines On Geo-Textual Data.- Improving Urban Traffic Evacuation Capability in Emergency Response by Using Smart Phones.- Context Enhanced Keyword Extraction for Sparse Geo-entity Relation from Web Texts.- A Stacked Generalization Framework for City Traffic Related Geospatial Data Analysis.- Detection of Statistically Significant Bus Delay Aggregation by Spatial-Temporal Scanning.- Acquisition and Representation of Knowledge for Academic Field.- Using Learning Features to Find Similar Trajectories.- An Algorithm for Mining Moving Flock Patterns from Pedestrian Trajectories.
Автор: Hu & Kaabouch Название: Big Data Management, Technologies, And Applications ISBN: 1466646993 ISBN-13(EAN): 9781466646995 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 25502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere. Therefore, alternative management and processing methods have to be created to handle this complex and unstructured data size.Big Data Management, Technologies, and Applications discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data. With its prevalence, this collection of articles on big data methodologies and technologies are beneficial for IT workers, researchers, students, and practitioners in this timely field.
Автор: Markus Helfert; Andreas Holzinger; Orlando Belo; C Название: Data Management Technologies and Applications ISBN: 3319259350 ISBN-13(EAN): 9783319259352 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed proceedings of the Third International Conference on Data Technologies and Applications, DATA 2014, held in Vienna, Austria, in August 2014. The 12 revised full papers were carefully reviewed and selected from 87 submissions.
Автор: Markus Helfert; Andreas Holzinger; Orlando Belo; C Название: Data Management Technologies and Applications ISBN: 3319301616 ISBN-13(EAN): 9783319301617 Издательство: Springer Рейтинг: Цена: 6988.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed proceedingsof the Fourth International Conference on Data Technologies and Applications,DATA 2015, held in Colmar, France, in July 2015.The 9 revised full papers were carefully reviewed andselected from 70 submissions.
Автор: Furht Название: Big Data Technologies and Applications ISBN: 3319445480 ISBN-13(EAN): 9783319445489 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform.
The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification.
The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.
Автор: Jason J. Jung; Pankoo Kim Название: Big Data Technologies and Applications ISBN: 3319589660 ISBN-13(EAN): 9783319589664 Издательство: Springer Рейтинг: Цена: 5870.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed post-conference proceedings of the 7th International Conference on Big data Technologies and Applications, BDTA 2016, held in Seoul, South Korea, in November 2016.
Описание: This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business.
Автор: Yoshiharu Ishikawa; Jing He; Guandong Xu; Yong Shi Название: Advanced Web and Network Technologies, and Applications ISBN: 354089375X ISBN-13(EAN): 9783540893752 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the thoroughly refereed joint post-workshop proceedings of three international workshops held in conjunction with the 10th Asia-Pacific Web Conference, APWeb 2008, in Shenyang, China, in April 2008. The papers focus on issues such as Web searching, Web services, database, data mining, bioinformatics, and business intelligence.
Описание: Focuses on technologies that support interoperability in networked organizations, on successful applications of these technologies, and on lessons learned. This title covers such topics as business interoperability; organizations and virtual institutions; modeling multiagent systems; agent interaction; and security.
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