Angebote zu "Data" (709 Treffer)

Data Science
51,36 € *
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Data Science

Anbieter: Allyouneed.com
Stand: 17.08.2017
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Data Mining
39,80 € *
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The mountains of data in modern databases conceal undiscovered knowledge that can only be brought to light with the right tools. Data Mining seeks to provide methods and algorithms to uncover previously unknown connections. The book covers the material in a one-semester university or technical college course on data mining and is conceived as a classical textbook. It includes summaries, numerous examples, and practice exercises. Prof. Dr. Jürgen Cleve , Hochschule Wismar Prof. Dr. Uwe Lämmel , Hochschule Wismar

Anbieter: ciando eBooks
Stand: 11.07.2017
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Data Mining
39,95 € *
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In den modernen Datenbanken steckt unentdecktes Wissen, das ohne geeignete Hilfsmittel kaum gefördert werden kann. Hier setzt das Data Mining an und liefert Methoden und Algorithmen, um bisher unbekannte Zusammenhänge zu entdecken. Das Buch deckt den Stoff einer einsemestrigen Vorlesung an Universitäten oder Fachhochschulen ab und ist als klassisches Lehrbuch konzipiert. Es bietet Zusammenfassungen, zahlreiche Beispiele und Übungsaufgaben. Jürgen Cleve, Uwe Lämmel ; Hochschule Wismar.

Anbieter: ciando eBooks
Stand: 11.07.2017
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Data Mining
39,95 € *
ggf. zzgl. Versand

In den modernen Datenbanken steckt unentdecktes Wissen, das ohne geeignete Hilfsmittel kaum gefördert werden kann. Hier setzt das Data Mining an und liefert Methoden und Algorithmen, um bisher unbekannte Zusammenhänge zu entdecken. Das Buch deckt den Stoff einer einsemestrigen Vorlesung an Universitäten oder Fachhochschulen ab und ist als klassisches Lehrbuch konzipiert. Es bietet Zusammenfassungen, zahlreiche Beispiele und Übungsaufgaben. Jürgen Cleve, Uwe Lämmel ; Hochschule Wismar.

Anbieter: ciando eBooks
Stand: 11.07.2017
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Business Data Communications
78,10 € *
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Business Data Communications

Anbieter: Allyouneed.com
Stand: 17.08.2017
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Data Science For Dummies
20,99 € *
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Discover how data science can help you gain in-depth insight into your business – the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles in organizations. Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of their organization’s massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you’ll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization. Provides a background in data science fundamentals before moving on to working with relational databases and unstructured data and preparing your data for analysis Details different data visualization techniques that can be used to showcase and summarize your data Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark It’s a big, big data world out there – let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

Anbieter: ciando eBooks
Stand: 11.07.2017
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Data Mining For Dummies
23,99 € *
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Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your businesss entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesnt take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their businesss needs. In this book, youll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. Youll gain the confidence you need to start making data mining practices a routine part of your successful business. If youre serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.

Anbieter: ciando eBooks
Stand: 11.07.2017
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Metaheuristics for Big Data
91,99 € *
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Big Data is a new field, with many technological challenges to be understood in order to use it to its full potential. These challenges arise at all stages of working with Big Data, beginning with data generation and acquisition. The storage and management phase presents two critical challenges: infrastructure, for storage and transportation, and conceptual models. Finally, to extract meaning from Big Data requires complex analysis. Here the authors propose using metaheuristics as a solution to these challenges; they are first able to deal with large size problems and secondly flexible and therefore easily adaptable to different types of data and different contexts. The use of metaheuristics to overcome some of these data mining challenges is introduced and justified in the first part of the book, alongside a specific protocol for the performance evaluation of algorithms. An introduction to metaheuristics follows. The second part of the book details a number of data mining tasks, including clustering, association rules, supervised classification and feature selection, before explaining how metaheuristics can be used to deal with them. This book is designed to be self-contained, so that readers can understand all of the concepts discussed within it, and to provide an overview of recent applications of metaheuristics to knowledge discovery problems in the context of Big Data. Big Data is a new field, with many technological challenges to be understood in order to use it to its full potential. These challenges arise at all stages of working with Big Data, beginning with data generation and acquisition. The storage and management phase presents two critical challenges: infrastructure, for storage and transportation, and conceptual models. Finally, to extract meaning from Big Data requires complex analysis. Here the authors propose using metaheuristics as a solution to these challenges; they are first able to deal with large size problems and secondly flexible and therefore easily adaptable to different types of data and different contexts. The use of metaheuristics to overcome some of these data mining challenges is introduced and justified in the first part of the book, alongside a specific protocol for the performance evaluation of algorithms. An introduction to metaheuristics follows. The second part of the book details a number of data mining tasks, including clustering, association rules, supervised classification and feature selection, before explaining how metaheuristics can be used to deal with them. This book is designed to be self-contained, so that readers can understand all of the concepts discussed within it, and to provide an overview of recent applications of metaheuristics to knowledge discovery problems in the context of Big Data.

Anbieter: ciando eBooks
Stand: 11.07.2017
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Data Center Handbook
142,99 € *
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Data Center Handbook provides the fundamentals, technologies, and best practices in designing, constructing and managing mission critical, energy efficient data centers. • The most comprehensive single source guide ever published in this field, with 36 chapters and over 350 illustrations written by 50 world class authors • Offers disaster management techniques and lessons learned from 2011 earthquake and tsunami in Japan, and 2012 Superstorm Sandy • Discusses international standards and requirements, with contributions from experts in the United States, Canada, United Kingdom, France, Sweden, Japan, Korea, and China Hwaiyu Geng, P.E., is a consultant with Amica Association, promoting green planning, design, and construction projects. He has had over 40 years of manufacturing and management experience, working with Westinghouse, Applied Materials, HP, and Intel on multi-million high-tech projects. He has written and presented numerous technical papers at DatacenterDynamics, ASME and IIE conferences, and is also the editor/author of Manufacturing Engineering Handbook (McGraw Hill, 2004), Semiconductor Manufacturing Handbook (McGraw Hill, 2005), and Data Center Handbook (Wiley, 2014). He is a patent holder.

Anbieter: ciando eBooks
Stand: 11.07.2017
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Data Center Handbook
142,99 € *
ggf. zzgl. Versand

Data Center Handbook provides the fundamentals, technologies, and best practices in designing, constructing and managing mission critical, energy efficient data centers. • The most comprehensive single source guide ever published in this field, with 36 chapters and over 350 illustrations written by 50 world class authors • Offers disaster management techniques and lessons learned from 2011 earthquake and tsunami in Japan, and 2012 Superstorm Sandy • Discusses international standards and requirements, with contributions from experts in the United States, Canada, United Kingdom, France, Sweden, Japan, Korea, and China Hwaiyu Geng, P.E., is a consultant with Amica Association, promoting green planning, design, and construction projects. He has had over 40 years of manufacturing and management experience, working with Westinghouse, Applied Materials, HP, and Intel on multi-million high-tech projects. He has written and presented numerous technical papers at DatacenterDynamics, ASME and IIE conferences, and is also the editor/author of Manufacturing Engineering Handbook (McGraw Hill, 2004), Semiconductor Manufacturing Handbook (McGraw Hill, 2005), and Data Center Handbook (Wiley, 2014). He is a patent holder.

Anbieter: ciando eBooks
Stand: 11.07.2017
Zum Angebot