CITU Search for '(su:"Data Mining")'

Effective CRM using predictive analytics /

By Chorianopoulos, Antonios.. . xiv, 371 pages : 25 cm. 9781119011552 (cloth)

Place Hold on Effective CRM using predictive analytics /

Essentials of business analytics /

By Camm, Jeff.. . xix, 675 pages : 26 cm.. 9781285187273 (student edition : alk. paper)

Place Hold on Essentials of business analytics /

Responsible analytics and data mining in education : global perspectives on quality, support, and decision-making /

. xxvi, 291 pages : 23 cm.. 9781138305908 (pbk)

Place Hold on Responsible analytics and data mining in education :

Information discovery on electronic health records /

. xviii, 313 pages : 25 cm.. 9781420090383 (hardbound : alk. paper)

Place Hold on Information discovery on electronic health records /

Social media data mining and analytics /

By Szabó, Gábor,. 1844 121 2019 . xxxv, 316 pages : , Includes index. About the Author GABOR SZABO, PHD, is a Senior Staff Software Engineer at Tesla and a former data scientist at Twitter, where he focused on predicting user behavior and content popularity in crowdsourced online services, and on modeling large-scale content dynamics. He also authored the PyCascading data processing library. GUNGOR POLATKAN, PHD, is a Tech Lead/Engineering Manager designing and implementing end-to-end machine learning and artificial intelligence offline/online pipelines for the LinkedIn Learning relevance backend. He was previously a machine learning scientist at Twitter, where he worked on topics such as ad targeting and user modeling. P. OSCAR BOYKIN, PHD, is a software engineer at Stripe where he works on machine learning infrastructure. He was previously a Senior Staff Engineer at Twitter, where he worked on data infrastructure problems. He is coauthor of the Scala big-data libraries Algebird, Scalding and Summingbird. ANTONIOS CHALKIOPOULOS, MSC, is a Distributed Systems Specialist. A system engineer who has delivered fast/big data projects in media, betting, and finance, he is now leading the effort on the Lenses platform for data streaming as a co-founder and CEO at https://lenses.stream. Permissions Request permission to reuse content from this site 24 cm. 9781118824856 (pbk.) | 1118824857

Place Hold on Social media data mining and analytics /

Statistical data analytics : foundations for data mining, informatics, and knowledge discovery /

By Piegorsch, Walter W.. . xv, 470 pages : 25 cm. 9781118619650 (cloth : alk. paper) | 111861965X (cloth : alk. paper)

Place Hold on Statistical data analytics :

Data science and analytics with Python /

By Rogel-Salazar, Jesus,. . xxxv, 376 pages ; , Dr. Jesús Rogel-Salazar is a Lead Data Scientist at IBM Data Science Studio and visiting researcher at the Department of Physics at Imperial College London, UK. He is also a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK. He obtained his doctorate in Physics at Imperial College London for work on quantum atom optics and ultra-cold matter. He has held a position as senior lecturer in mathematics as well as a consultant and data scientist in the financial industry since 2006. He is the author of the book ?Essential Matlab and Octave?, also published with CRC Press. His interests include mathematical modelling, data science and optimisation in a wide range of applications including optics, quantum mechanics, data journalism and finance. Dr. Jesús Rogel-Salazar is a Lead Data Scientist at IBM Data Science Studio and visiting researcher at the Department of Physics at Imperial College London, UK. He is also a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK. He obtained his doctorate in Physics at Imperial College London for work on quantum atom optics and ultra-cold matter. He has held a position as senior lecturer in mathematics as well as a consultant and data scientist in the financial industry since 2006. He is the author of the book ?Essential Matlab and Octave?, also published with CRC Press. His interests include mathematical modelling, data science and optimisation in a wide range of applications including optics, quantum mechanics, data journalism and finance. 24 cm.. 9781498742092 (pbk. : alk. paper)

Place Hold on Data science and analytics with Python /

Predictive analytics for marketers : using data mining for business advantage /

By Leventhal, Barry,. . XVI, 251 pages ; , Dr Barry Leventhal is a leading UK authority on geodemographics and a marketing analytics expert. He is Emeritus Chair of the Census and Geodemographics Group (CGG), which is an advisory board of The Market Research Society (MRS) and a leading voice in the UK information industry. He was recently awarded the MRS Gold Medal Award - the association's rarest accolade, presented for the first time since 2008 - in recognition of his lifetime of exceptional achievement and contribution to the research profession. 24cm. 9780749479930 (alk. paper)

Place Hold on Predictive analytics for marketers :

Harness the power of Big Data : the IBM Big Data platform /

By Zikopoulos, Paul C.. . xxx, 248 p. : 23 cm.. 9780071808170 (pbk.) | 0071808175 (pbk.)

Place Hold on Harness the power of Big Data :

Sexy little numbers : how to grow your business using the data you already have /

By Maex, Dimitri.. . viii, 257 pages : , Includes index. 22 cm.. 9780307888341 | 9780307888365 (ebook)

Place Hold on Sexy little numbers :

Big data for small business /

By Marr, Bernard,. . xi, 242 pages ; , Includes index. 24 cm.. 9781119027034 | 1119027039

Place Hold on Big data for small business /

Fundamentals of big data : network analysis for research and industry /

By Lee, Hyunjoung,. . xviii, 196 pages : 24 cm. 9781119015581 (cloth)

Place Hold on Fundamentals of big data :

Big data analytics : a practical guide for managers /

By Pries, Kim H.,. . xix, 556 pages ; , ABOUT THE AUTHOR/S Kim H. Pries has four college degrees: a bachelor of arts in history from the University of Texas at El Paso (UTEP), a bachelor of science in metallurgical engineering from UTEP, a master of science in engineering from UTEP, and a master of science in metallurgical engineering and materials science from Carnegie-Mellon University. Pries worked as a computer systems manager, a software engineer for an electrical utility, and a scientific programmer under a defense contract for Stoneridge, Incorporated (SRI). He has worked as software manager, engineering services manager, reliability section manager, and product integrity and reliability director. In addition to his other responsibilities, Pries has provided Six Sigma training for both UTEP and SRI and cost reduction initiatives for SRI. Pries is also a founding faculty member of Practical Project Management. Additionally, in concert with Jon Quigley, Pries was a cofounder and principal with Value Transformation, LLC, a training, testing, cost improvement, and product development consultancy. He trained for Introduction to Engineering Design and Computer Science and Software Engineering with Project Lead the Way. He currently teaches biotechnology, computer science and software engineering, and introduction to engineering design at the beautiful Parkland High School in the Ysleta Independent School District of El Paso, Texas. Robert Dunnigan is a manager with Janus Consulting Partners and is based in Dallas, Texas. He holds a bachelor of science in psychology and in sociology with an anthropology emphasis from North Dakota State University. He also holds a master of business administration from INSEAD, "the business school for the world," where he attended the Singapore campus. As a Peace Corps volunteer, Robert served over 3 years in Honduras developing agribusiness opportunities. As a consultant, he later worked on the Afghanistan Small and Medium Enterprise Development project in Afghanistan, where he traveled the country with his Afghan colleagues and friends seeking opportunities to develop a manufacturing sector in the country. Robert is an American Society for Quality–certified Six Sigma Black Belt and a Scrum Alliance–certified Scrum Master. 24 cm. 9781482234510

Place Hold on Big data analytics :

Data mining : concepts and techniques /

By Han, Jiawei.. Burlington, MA : Elsevier, 2012 . xxxv, 703 p. : 25 cm.. 9780123814791

Place Hold on Data mining :

Discovering knowledge in data : an introduction to data mining /

By Larose, Daniel T.. . xviii, 316 pages ; , Includes index. 25 cm. 9780470908747 (hardback)

Place Hold on Discovering knowledge in data :

Data mining : practical machine learning tools and techniques /

By Witten, I. H. (Ian H.). . xxxii, 621 pages ; , Rev. edition of: Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank, Mark A. Hall. c2013. 24 cm. 9780128042915

Place Hold on Data mining :

Geographic data mining and knowledge discovery /

Boca Raton, FL : CRC Press, 2009 . 458 p. : 25 cm.. 9781420073973 (hard back : alk. paper)

Place Hold on Geographic data mining and knowledge discovery /

Data mining techniques : for marketing, sales, and customer relationship management /

By Linoff, Gordon S.. Indianapolis, IN : Wiley Pub., 2011 . xl, 847 p. : , Berry's name appears first on the 2nd ed. | Includes index. 24 cm.. 9780470650936 (pbk : alk. paper)

Place Hold on Data mining techniques :

Social media data mining and analytics /

By Szabó, Gábor,. 1844 121 2019 . 1 online resource (xxxv, 316 pages) : , Includes index. About the Author GABOR SZABO, PHD, is a Senior Staff Software Engineer at Tesla and a former data scientist at Twitter, where he focused on predicting user behavior and content popularity in crowdsourced online services, and on modeling large-scale content dynamics. He also authored the PyCascading data processing library. GUNGOR POLATKAN, PHD, is a Tech Lead/Engineering Manager designing and implementing end-to-end machine learning and artificial intelligence offline/online pipelines for the LinkedIn Learning relevance backend. He was previously a machine learning scientist at Twitter, where he worked on topics such as ad targeting and user modeling. P. OSCAR BOYKIN, PHD, is a software engineer at Stripe where he works on machine learning infrastructure. He was previously a Senior Staff Engineer at Twitter, where he worked on data infrastructure problems. He is coauthor of the Scala big-data libraries Algebird, Scalding and Summingbird. ANTONIOS CHALKIOPOULOS, MSC, is a Distributed Systems Specialist. A system engineer who has delivered fast/big data projects in media, betting, and finance, he is now leading the effort on the Lenses platform for data streaming as a co-founder and CEO at https://lenses.stream. Permissions Request permission to reuse content from this site 9781119183518 | 9781118824856 (pbk.)

Place Hold on Social media data mining and analytics /

Big data analytics : methods and applications /

. xxiv, 402 pages; 27 cm. 9781773615042

Place Hold on Big data analytics :