||1 of 1 people found the following review helpful.| Very poorly written|By James Cannady|It is actually hard to read this book (the Kindle Edition) with all of the grammatical errors. There are some interesting concepts in the book (which made it 2 instead of 1 star), but it really is difficult to follow. The errors are not scattered, almost every paragraph contains glaring errors. It's like this is a first-draft from a non-|||… this book is the first authored text (that is, not an edited collection) about the area … The book covers a lot of ground in just 200 pages, including discussion of relatively advanced methods such as wavelets, bagging, boosting, dynamic time
Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents a coherent overview of state-of-the-art research in learning from data streams.
[PDF.yu47] Knowledge Discovery from Data Streams (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) Rating: 3.86 (681 Votes)
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You easily download any file type for your device.Knowledge Discovery from Data Streams (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) | Joao Gama. Which are the reasons I like to read books. Great story by a great author.
