|Statement||Bonnie H. Erickson, T. A. Nosanchuk.|
|Series||McGraw-Hill Ryerson series in Canadian sociology|
|Contributions||Nosanchuk, Terry A., 1935- joint author.|
|LC Classifications||HA29 .E72|
|The Physical Object|
|Pagination||xi, 388 p. :|
|Number of Pages||388|
|LC Control Number||77375092|
Understanding Different Types of Data and Their Implications: These days, you’ll hear a lot about big data and how valuable it can be to your business. But most managers don’t really. Big Data: Understanding How Data Powers Big Business iswritten by one of Big Data's preeminent experts, William 't miss his invaluable insights and advice. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or Cited by: Data mining is a necessary part of predictive analytics. In data mining, data classification is the process of labeling a data item as belonging to a class or category. A data item is also referred to (in the data-mining vocabulary) as data object, observation, or instance. Data clustering is different from data classification: Data clustering [ ]. This book connects users to the real world by teaching digital communications, the inner workings of data terminals, modems, fiber optics, and the fundamentals, the functions of data terminals and their components, and the latest network architecture and design techniquesProvides information on the advantages and disadvantages /5.
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