[PDF.47hb] Feature Extraction, Construction and Selection: A Data Mining Perspective (The Springer International Series in Engineering and Computer Science)
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Feature Extraction, Construction and Selection: A Data Mining Perspective (The Springer International Series in Engineering and Computer Science)
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[PDF.rw49] Feature Extraction, Construction and Selection: A Data Mining Perspective (The Springer International Series in Engineering and Computer Science)
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| #5233988 in Books | Springer | 1998-08-31 | Original language:English | PDF # 1 | 9.21 x1.00 x6.14l,1.62 | File type: PDF | 410 pages | ||7 of 7 people found the following review helpful.| Really more "feature reduction" than extraction|By Voracious Reader|Wasn't what I was hoping for, which doesn't mean it's not what the authors intended.
I was looking for a book on identifying and extracting features, this is more what I would call "reducing features".
One of the hardest problems in dealing with data is IDENTIFYING the features used to des
There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data...
You easily download any file type for your gadget.Feature Extraction, Construction and Selection: A Data Mining Perspective (The Springer International Series in Engineering and Computer Science) | From Brand: Springer. Just read it with an open mind because none of us really know.
