Data mining (Mehr als 6.300 Ergebnisse)

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Sprache: Englisch
Verlag: Morgan Kaufmann, 2002
Serie: Buch 8 von 22 - The Morgan Kaufmann Series in Data Management Systems
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Hardback. Zustand: Very Good. Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues--including Web crawling and indexing--Chakrabarti examines low-level machine learning techniques as they relate specifically to the challenges of Web mining. He then devotes the final part of the book to applications that unite infrastructure and analysis to bring machine learning to bear on systematically acquired and stored data. Here the focus is on results: the strengths and weaknesses of these applications, along with their potential as foundations for further progress. From Chakrabarti's work--painstaking, critical, and forward-looking--readers will gain the theoretical and practical understanding they need to contribute to the Web mining effort.…

Sprache: Englisch
Verlag: Morgan Kaufmann, 2002
Serie: Buch 8 von 22 - The Morgan Kaufmann Series in Data Management Systems
- Hardcover
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Hardback. Zustand: Good. Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues--including Web crawling and indexing--Chakrabarti examines low-level machine learning techniques as they relate specifically to the challenges of Web mining. He then devotes the final part of the book to applications that unite infrastructure and analysis to bring machine learning to bear on systematically acquired and stored data. Here the focus is on results: the strengths and weaknesses of these applications, along with their potential as foundations for further progress. From Chakrabarti's work--painstaking, critical, and forward-looking--readers will gain the theoretical and practical understanding they need to contribute to the Web mining effort.…

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Paperback. Zustand: Good. The focus on doing data mining rather than just reading about data mining is refreshing.The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment.

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Paperback. Zustand: Good. Advances in Knowledge Discovery and Data Mining brings together the latest research--in statistics, databases, machine learning, and artificial intelligence--that are part of the exciting and rapidly growing field of Knowledge Discovery and Data Mining.Advances in Knowledge Discovery and Data Mining brings together the latest research--in statistics, databases, machine learning, and artificial intelligence--that are part of the exciting and rapidly growing field of Knowledge Discovery and Data Mining. Topics covered include fundamental issues, classification and clustering, trend and deviation analysis, dependency modeling, integrated discovery systems, next generation database systems, and application case studies. The contributors include leading researchers and practitioners from academia, government laboratories, and private industry. The last decade has seen an explosive growth in the generation and collection of data. Advances in data collection, widespread use of bar codes for most commercial products, and the computerization of many business and government transactions have flooded us with data and generated an urgent need for new techniques and tools that can intelligently and automatically assist in transforming this data into useful knowledge. This book is a timely and comprehensive overview of the new generation of techniques and tools for knowledge discovery in data. Distributed for AI Press.…

Sprache: Englisch
Verlag: Morgan Kaufmann, 2011
Serie: Buch 20 von 22 - The Morgan Kaufmann Series in Data Management Systems
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Sprache: Englisch
Verlag: CreateSpace Independent Publishing Platform (edition ), 2013
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Hardback. Zustand: Fair. Learn how to develop models for classification, prediction, and customer segmentation with the help of Data Mining for Business Intelligence In today's world, businesses are becoming more capable of accessing their ideal consumers, and an understanding of data mining contributes to this success.…

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Hardback. Zustand: Good. Presents an understanding of the types of data that can be used in systems. This book covers approaches to analyzing data and delineates how to connect the dots among different data elements. It also shows how data is used, manipulated, and interpreted in domains involving human smuggling, money laundering, and narcotics trafficking.…

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Paperback. Zustand: Good. Discusses machine learning concepts. This work offers practical advice on applying machine learning tools and techniques in real-world data mining situations. It helps you learn about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods.

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Paperback. Zustand: Good. Where to Start xi Introduction WITH THE EXPLOSION IN computer technology during the past 30 years, there has been an accompanying proliferation of data. In many cases, however, companies have stacks of printed data or electronic databases that are of little use to them. This is often because those who could benefit the most from this information lack experience using the tools and techniques that could help them extract knowledge from the numbers. Now, more and more databases are also placed on the Internet. In fact, at no other time in history has more information been accessible to so many people. But how can it help us? Access to this information is important because data collected in the past may be used to predict future trends or to characterize a population from which a sample has been extracted. For example, a sample poll among 1,000 voters is often used to predict the outcome of an election. The latest computer-age term for this exercise is data min- ing. Statistics is the science (and art) of mining or analyzing such data. Like lawyers and physicians, statisticians have traditionally insulated themselves from the masses by using jargon and Greek symbols, thereby helping to ensure the need for their services. …

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Sprache: Englisch
Verlag: Morgan Kaufmann, 2011
Serie: Buch 20 von 22 - The Morgan Kaufmann Series in Data Management Systems
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Sprache: Englisch
Verlag: Morgan Kaufmann, 2006
Serie: Buch 39 von 52 - The Morgan Kaufmann Series in Data Management Systems
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Hardback. Zustand: Good. Our ability to generate and collect data has increased. This book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. It includes chapters that address the developments on mining complex types of data.…

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Paperback. Zustand: Good. Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining Covers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis.…

Sprache: Englisch
Verlag: Morgan Kaufmann, 2005
Serie: Buch 16 von 22 - The Morgan Kaufmann Series in Data Management Systems
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Sprache: Englisch
Verlag: Morgan Kaufmann, 2005
Serie: Buch 16 von 22 - The Morgan Kaufmann Series in Data Management Systems
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Paperback. Zustand: Fair. Popular social networks such as Facebook and Twitter generate a tremendous amount of valuable data on topics and use patterns. Who's talking to who? What are they talking about? How often are they talking.

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Paperback. Zustand: Very Good. Popular social networks such as Facebook and Twitter generate a tremendous amount of valuable data on topics and use patterns. Who's talking to who? What are they talking about? How often are they talking.

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Paperback. Zustand: Good. Popular social networks such as Facebook and Twitter generate a tremendous amount of valuable data on topics and use patterns. Who's talking to who? What are they talking about? How often are they talking.

Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
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