Flexible Integration and Efficient Analysis of Multidimensional Datasets From the Web

Flexible Integration and Efficient Analysis of Multidimensional Datasets From the Web PDF Author: Benedikt Kämpgen
Publisher:
ISBN: 9781013279775
Category : Computers
Languages : en
Pages : 282

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Book Description
If numeric data from the Web are brought together, natural scientists can compare climate measurements with estimations, financial analysts can evaluate companies based on balance sheets and daily stock market values, and citizens can explore the GDP per capita from several data sources. However, heterogeneities and size of data remain a problem. This work presents methods to query a uniform view - the Global Cube - of available datasets from the Web and builds on Linked Data query approaches. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Flexible Integration and Efficient Analysis of Multidimensional Datasets From the Web

Flexible Integration and Efficient Analysis of Multidimensional Datasets From the Web PDF Author: Benedikt Kämpgen
Publisher:
ISBN: 9781013279775
Category : Computers
Languages : en
Pages : 282

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Book Description
If numeric data from the Web are brought together, natural scientists can compare climate measurements with estimations, financial analysts can evaluate companies based on balance sheets and daily stock market values, and citizens can explore the GDP per capita from several data sources. However, heterogeneities and size of data remain a problem. This work presents methods to query a uniform view - the Global Cube - of available datasets from the Web and builds on Linked Data query approaches. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Flexible Integration and Efficient Analysis of Multidimensional Datasets from the Web

Flexible Integration and Efficient Analysis of Multidimensional Datasets from the Web PDF Author: Kaempgen, Benedikt
Publisher: KIT Scientific Publishing
ISBN: 3731503794
Category : Data structures (Computer science)
Languages : en
Pages : 286

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Book Description
If numeric data from the Web are brought together, natural scientists can compare climate measurements with estimations, financial analysts can evaluate companies based on balance sheets and daily stock market values, and citizens can explore the GDP per capita from several data sources. However, heterogeneities and size of data remain a problem. This work presents methods to query a uniform view - the Global Cube - of available datasets from the Web and builds on Linked Data query approaches.

SMART - IWRM - Sustainable Management of Available Water Resources with Innovative Technologies - Integrated Water Resources Management in the Lower Jordan Rift Valley : Final Report Phase II

SMART - IWRM - Sustainable Management of Available Water Resources with Innovative Technologies - Integrated Water Resources Management in the Lower Jordan Rift Valley : Final Report Phase II PDF Author: Klinger, Jochen
Publisher: KIT Scientific Publishing
ISBN: 373150393X
Category :
Languages : en
Pages : 448

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Book Description


Flexible Query Answering Systems 2015

Flexible Query Answering Systems 2015 PDF Author: Troels Andreasen
Publisher: Springer
ISBN: 3319261541
Category : Computers
Languages : en
Pages : 483

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Book Description
This volume contains the papers presented at the Eleventh Flexible Query Answering Systems 2015 (FQAS-2015) held on October 26-28, 2015 in Cracow, Poland. The international conferences on Flexible Query Answering Systems (FQAS) are a series of premier conferences focusing on the key issue in the information society of providing easy, flexible, and intuitive access to information and knowledge to everybody, even people with a very limited computer literacy. In targeting this issue, the Conference draws on several research areas, such as information retrieval, database management, information filtering, knowledge representation, soft computing, management of multimedia information, and human-computer interaction. The Conference provides a unique opportunity for researchers, developers and practitioners to explore new ideas and approaches in a multidisciplinary forum.

Multi-omic Data Integration in Oncology

Multi-omic Data Integration in Oncology PDF Author: Chiara Romualdi
Publisher: Frontiers Media SA
ISBN: 2889661512
Category : Medical
Languages : en
Pages : 187

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Book Description
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Process Mining Workshops

Process Mining Workshops PDF Author: Johannes De Smedt
Publisher: Springer Nature
ISBN: 3031561074
Category :
Languages : en
Pages : 534

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Book Description


Mastering Data Analysis with R

Mastering Data Analysis with R PDF Author: Gergely Daroczi
Publisher: Packt Publishing Ltd
ISBN: 1783982039
Category : Computers
Languages : en
Pages : 397

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Book Description
Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization About This Book Handle your data with precision and care for optimal business intelligence Restructure and transform your data to inform decision-making Packed with practical advice and tips to help you get to grips with data mining Who This Book Is For If you are a data scientist or R developer who wants to explore and optimize your use of R's advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic. What You Will Learn Connect to and load data from R's range of powerful databases Successfully fetch and parse structured and unstructured data Transform and restructure your data with efficient R packages Define and build complex statistical models with glm Develop and train machine learning algorithms Visualize social networks and graph data Deploy supervised and unsupervised classification algorithms Discover how to visualize spatial data with R In Detail R is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently. This book will give you the guidance you need to build and develop your knowledge and expertise. Bridging the gap between theory and practice, this book will help you to understand and use data for a competitive advantage. Beginning with taking you through essential data mining and management tasks such as munging, fetching, cleaning, and restructuring, the book then explores different model designs and the core components of effective analysis. You will then discover how to optimize your use of machine learning algorithms for classification and recommendation systems beside the traditional and more recent statistical methods. Style and approach Covering the essential tasks and skills within data science, Mastering Data Analysis provides you with solutions to the challenges of data science. Each section gives you a theoretical overview before demonstrating how to put the theory to work with real-world use cases and hands-on examples.

Smart Development in Smart Communities

Smart Development in Smart Communities PDF Author: Gilberto Antonelli
Publisher: Routledge
ISBN: 131728125X
Category : Business & Economics
Languages : en
Pages : 325

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Book Description
The concept of smart cities has become one of the most significant new lines of thinking to emerge in the social sciences in recent years, both from the research and policy angles. To date, the focus in smart specialization has been on what regions as a whole can do to bring about innovation, but it hasn’t necessarily addressed the role cities play within the field. This book aims to address that gap, drawing together a team of leading contributors, to illustrate this process with particular focus on cities. Smart Development in Smart Communities discusses the cross-fertilization between smart specialization and cities in fostering smart development and its interactions with the macro-, micro- and meso-economic framework, from both a theoretical and applied perspective. Specific topics covered by the book include: human capital formation and utilization; centralized/decentralized industrial policies; innovation policies; collective learning; and the role of public utilities in sustaining smart development processes. This book tackles some of the most important questions that must be faced when investigating how structural change and innovation processes are shaping local and global economic development. It will be of interest to academics and researchers in the area of Development Economics, Urban Studies and Public Management.

Learning to Classify Text Using Support Vector Machines

Learning to Classify Text Using Support Vector Machines PDF Author: Thorsten Joachims
Publisher: Springer Science & Business Media
ISBN: 1461509076
Category : Computers
Languages : en
Pages : 218

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Book Description
Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high performance and efficiency with theoretical understanding and improved robustness. In particular, it is highly effective without greedy heuristic components. The SVM approach is computationally efficient in training and classification, and it comes with a learning theory that can guide real-world applications. Learning To Classify Text Using Support Vector Machines gives a complete and detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, efficient performance estimation, and a statistical learning model of text classification. In addition, it includes an overview of the field of text classification, making it self-contained even for newcomers to the field. This book gives a concise introduction to SVMs for pattern recognition, and it includes a detailed description of how to formulate text-classification tasks for machine learning.

Encyclopedia of GIS

Encyclopedia of GIS PDF Author: Shashi Shekhar
Publisher: Springer Science & Business Media
ISBN: 038730858X
Category : Computers
Languages : en
Pages : 1392

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Book Description
The Encyclopedia of GIS provides a comprehensive and authoritative guide, contributed by experts and peer-reviewed for accuracy, and alphabetically arranged for convenient access. The entries explain key software and processes used by geographers and computational scientists. Major overviews are provided for nearly 200 topics: Geoinformatics, Spatial Cognition, and Location-Based Services and more. Shorter entries define specific terms and concepts. The reference will be published as a print volume with abundant black and white art, and simultaneously as an XML online reference with hyperlinked citations, cross-references, four-color art, links to web-based maps, and other interactive features.