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IBM SPSS Modeler Cookbook. If you've already had some experience with IBM SPSS Modeler this cookbook will help you delve deeper and exploit the incredible potential of this data mining workbench. The recipes come from some of the best brains in the business

Język publikacji: angielskim
Autorzy:
Keith McCormick, Thomas J Khabaza, Dean Abbott, Meta S. Brown, Scott Mutchler
IBM SPSS Modeler Cookbook. If you've already had some experience with IBM SPSS Modeler this cookbook will help you delve deeper and exploit the incredible potential of this data mining workbench. The recipes come from some of the best brains in the business Keith McCormick, Thomas J Khabaza, Dean Abbott, Meta S. Brown, Scott Mutchler - okladka książki

IBM SPSS Modeler Cookbook. If you've already had some experience with IBM SPSS Modeler this cookbook will help you delve deeper and exploit the incredible potential of this data mining workbench. The recipes come from some of the best brains in the business Keith McCormick, Thomas J Khabaza, Dean Abbott, Meta S. Brown, Scott Mutchler - okladka książki

Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
382
Dostępne formaty:
     PDF
     ePub
     Mobi

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IBM SPSS Modeler is a data mining workbench that enables you to explore data, identify important relationships that you can leverage, and build predictive models quickly allowing your organization to base its decisions on hard data not hunches or guesswork.

IBM SPSS Modeler Cookbook takes you beyond the basics and shares the tips, the timesavers, and the workarounds that experts use to increase productivity and extract maximum value from data. The authors of this book are among the very best of these exponents, gurus who, in their brilliant and imaginative use of the tool, have pushed back the boundaries of applied analytics. By reading this book, you are learning from practitioners who have helped define the state of the art.

Follow the industry standard data mining process, gaining new skills at each stage, from loading data to integrating results into everyday business practices. Get a handle on the most efficient ways of extracting data from your own sources, preparing it for exploration and modeling. Master the best methods for building models that will perform well in the workplace.

Go beyond the basics and get the full power of your data mining workbench with this practical guide.

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O autorach książki

Keith McCormick is an independent data miner, trainer, conference speaker, and author. He has been using statistics software tools since the early 90s, and has been conducting training since 1997. He has been data mining and using IBM SPSS Modeler since its arrival in North America in the late 90s. He is also an expert in other packages, IBM's SPSS software suite, including IBM SPSS Statistics, AMOS, and Text Mining. He blogs and reviews related books as well.
Tom helps organisations improve their marketing and customer processes, and to improve their efficiency, risk analysis and fraud detection, through new knowledge and predictive capabilities extracted from their data.



Tom has been in the field of data mining for 21 years, has created world-leading data mining tools, including joint authorship of the CRISP-DM industry standard data mining methodology. Tom has undertaken data mining for organizations in a wide range of sectors including banking, telecommunications, retail, manufacturing, media, science and medicine, government and law enforcement, in addition to data mining R&D with a wide range of commercial and academic partners. Recent thought-leadership includes the 9 Laws of Data Mining.
Dean Abbott is the President of Abbott Analytics, Inc. in San Diego, California. He has over two decades experience in applying advanced data mining, data preparation, and data visualization methods in real-world data intensive problems, including fraud detection, customer acquisition and retention, digital behavior for web applications and mobile, customer lifetime value, survey analysis, donation solicitation and planned giving. He has developed, coded, and evaluated algorithms for use in commercial data mining and pattern recognition products, including polynomial networks, neural networks, radial basis functions, and clustering algorithms for multiple software vendors. He is a seasoned instructor, having taught a wide range of data mining tutorials and seminars to thousands of attendees, including PAW, KDD, INFORMS, DAMA, AAAI, and IEEE conferences. He is the instructor of well-regarded data mining courses, explaining concepts in language readily understood by a wide range of audiences, including analytics novices, data analysts, statisticians, and business professionals. He also has taught both applied and hands-on data mining courses for major software vendors, including IBM SPSS Modeler, Statsoft STATISTICA, Salford System SPM, SAS Enterprise Miner, IBM PredictiveInsight, Tibco Spotfire Miner, KNIME, RapidMiner, and Megaputer Polyanalyst.
Meta S. Brown helps organizations use practical data analysis to solve everyday business problems. A hands-on analyst who has tackled projects with up to $900 million at stake, she is a recognized expert in cutting-edge business analytics. She is devoted to educating the business community on effective use of statistics, data mining, and text mining. A sought-after analytics speaker, she has conducted over 4000 hours of seminars, attracting audiences across North America, Europe, and South America. Her articles appear frequently on All Analytics, Smart Data Collective, and other publications. She is also co-author of Big Data, Mining and Analytics: Key Components for Strategic Decisions (forthcoming from CRC Press, Editor: Stephan Kudyba). She holds a Master of Science in Nuclear Engineering from the Massachusetts Institute of Technology, a Bachelor of Science in Mathematics from Rutgers University, and professional certifications from the American Society for Quality and National Association for Healthcare Quality. She has served on the faculties of Roosevelt University and National-Louis University.
Advanced Analytics is Scott Mutchler's passion: teaching, building solutions, mentoring or just being an evangelist for the benefits of Predictive and Prescriptive Analytics.

He is also the Vice President Advanced Analytics Services at QueBIT Consulting.

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