Big Data in Context, Thomas Hoeren; Barbara Kolany-Raiser

Автор: С.Aggarwal
Название: Data Mining: The Textbook
ISBN: 3319141414 ISBN-13(EAN): 9783319141411
Издательство: Springer
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Цена: 65210.00 T
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Описание: This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues.

Автор: Chu Wesley W.
Название: Data Mining and Knowledge Discovery for Big Data
ISBN: 3642408362 ISBN-13(EAN): 9783642408366
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book address topics ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.

Автор: Daniel Roggen; Clemens Lombriser; Gerhard Tr?ster;
Название: Smart Sensing and Context
ISBN: 354088792X ISBN-13(EAN): 9783540887928
Издательство: Springer
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Цена: 65210.00 T
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Описание: Constitutes the refereed proceedings of the Third European Conference on Smart Sensing and Context, EuroSSC 2008, held in Zurich, Switzerland, October 29-31, 2008. This title includes papers that are organized in topical sections on smart objects, spatial and human context inference, and context processing and quality of context.

Автор: Tanzeem Choudhury; Aaron Quigley; Thomas Strang; K
Название: Location and Context Awareness
ISBN: 3642017207 ISBN-13(EAN): 9783642017209
Издательство: Springer
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Цена: 65210.00 T
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Описание: 4th International Symposium LoCA 2009 Tokyo Japan May 78 2009 Proceedings. .

Автор: Zaman, Elhassan Seliaman, Fadzil
Название: Handbook Of Research On Trends And Future Directions In Big Data And Web Intelligence
ISBN: 1466685050 ISBN-13(EAN): 9781466685055
Издательство: Mare Nostrum (Eurospan)
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Цена: 277200.00 T
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Описание: Big data is a well-trafficked subject in recent IT discourse and does not lack for current research. In fact, there is such a surfeit of material related to big data—and so much of it of questionably reliability, thanks to the high-gloss efforts of savvy tech-marketing gurus—that it can, at times, be difficult for a serious academician to navigate.The Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence cuts through the haze of glitz and pomp surrounding big data and offers a simple, straightforward reference-source of practical academic utility. Covering such topics as cloud computing, parallel computing, natural language processing, and personalized medicine, this volume presents an overview of current research, insight into recent advances, and gaps in the literature indicative of opportunities for future inquiry and is targeted toward a broad, interdisciplinary audience of students, academics, researchers, and professionals in fields of IT, networking, and data-analytics.

Автор: Martin Atzmueller; Alvin Chin; Frederik Janssen; I
Название: Big Data Analytics in the Social and Ubiquitous Context
ISBN: 3319290088 ISBN-13(EAN): 9783319290089
Издательство: Springer
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Цена: 37270.00 T
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Описание:

Using Wikipedia for Cross-language Named Entity Recognition.- On the Predictive Power of Web Intelligence and Social Media.- A Latent Space Analysis of Editor Lifecycles in Wikipedia.- On Spatial Measures of Geographic Relevance for Geotagged Social Media Content.- Formation and Temporal Evolution of Social Groups During Coffee Breaks.- A Habit Detection Algorithm (HDA) for Discovering Recurrent Patterns in Smart Meter Time Series.- RoADS: A road pavement monitoring system for anomaly detection using smart phones.- Mining ticketing logs for usage characterization with nonnegative matrix factorization.- Context-Aware Location Prediction.

Автор: Kurt Rothermel; Dieter Fritsch; Wolfgang Blochinge
Название: Quality of Context
ISBN: 3642045588 ISBN-13(EAN): 9783642045585
Издательство: Springer
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Цена: 65210.00 T
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Описание: Advances in sensor technology, wireless communication, and mobile devices lead to the proliferation of sensors in our physical environment. At the same time detailed digital models of buildings, towns, or even the globe become widely available. Integrating the huge amount of sensor data into spatial models results in highly dynamic models of the real world, often called context models. A wide range of applications can substantially bene't from context models. However, context data are inherently associated with uncertainty. In general, quality of context information has to be taken into account by both context management and applications. For example, the accuracy, completeness, and trustworthiness of spatial context information such as street or building data are very important for navigation and guidance systems. QuaCon 2009 was the ?rst international scienti?c meeting that speci?cally focused on the di?erent aspects of quality of context data. Research in context management and, in particular, context quality, requires an interdisciplinary approach. Therefore, the QuaCon workshop aimed to bring together researchers fromvarious?eldstodiscussapproachestocontextqualityandtomakeacons- idated contribution toward an integrated way of treating this topic. We received 19 high-quality paper submissions by researchers from Europe, USA, and Asia. TheInternationalProgramCommitteeselected11papersforpresentationatthe workshop. Additionally, ?ve invited contributions by internationally renowned expertsin the ?eldwereincludedinthe workshopprogram.Thepresentationsat the workshop showed many facets of quality of context from di?erent research ?elds including context data management, spatial models, context reasoning, privacy, and system frameworks. The lively discussions underlined the great - terestinthistopicandinparticularledtoadeeperunderstandingoftherelations between the various aspects of quality of context.

Автор: Emilio Mordini; Dimitros Tzovaras
Название: Second Generation Biometrics: The Ethical, Legal and Social Context
ISBN: 9400797230 ISBN-13(EAN): 9789400797239
Издательство: Springer
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Цена: 139750.00 T
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Описание: While debate rages over the impact of biometrics on personal privacy, the technology continues to develop rapidly. The boundary-blurring complexities of new biometrics urgently require the searching ethical, legal and political scrutiny this volume provides.

Автор: Finlay Steven
Название: Predictive Analytics, Data Mining and Big Data
ISBN: 1137379278 ISBN-13(EAN): 9781137379276
Издательство: Springer
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Цена: 37260.00 T
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Описание: This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.

Автор: Raj & Chandra Deka
Название: Cloud Infrastructures For Big Data Analytics
ISBN: 1466658649 ISBN-13(EAN): 9781466658646
Издательство: Mare Nostrum (Eurospan)
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Цена: 335410.00 T
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Описание: Clouds are being positioned as the next-generation consolidated, centralised, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional, applications and services.Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organisations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

Автор: Stackowiak Robert
Название: Big Data and the Internet of Things
ISBN: 1484209877 ISBN-13(EAN): 9781484209875
Издательство: Springer
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Цена: 41920.00 T
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Описание: "Your guide to defining an information architecture for emerging trends like Big Data and the Internet of Things"--Page 1 of cover.

Автор: Ahmed
Название: Big and Complex Data Analysis
ISBN: 3319415727 ISBN-13(EAN): 9783319415727
Издательство: Springer
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Цена: 102480.00 T
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Описание: This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data.