Advances in digital music technology have created challenges for effectively accessing and interacting with large collections of music and associated data. This book explores how data mining addresses these challenges by mining useful information and using it to create novel ways of interacting with large music collections. Leading experts in data mining, machine learning, and music science examine fundamental issues of classification and audio signal processing and discuss social aspects of music mining. They also present ...
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Advances in digital music technology have created challenges for effectively accessing and interacting with large collections of music and associated data. This book explores how data mining addresses these challenges by mining useful information and using it to create novel ways of interacting with large music collections. Leading experts in data mining, machine learning, and music science examine fundamental issues of classification and audio signal processing and discuss social aspects of music mining. They also present new research in instrument recognition, mood and emotion classification, and hit song prediction science.
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Seller's Description:
Book is in very good condition and may include minimal underlining highlighting. The book can also include From the library of labels. May not contain miscellaneous items toys dvds etc. We offer 100% money back guarantee and 24 7 customer service.
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Fair. Books may have damage such as dents creases and folded pages. Some books may have writing or highlighting inside. Extras or accessories are not guaranteed. Digital codes and CDs are not tested and may not work.
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Good++; Hardcover; Covers are still glossy with a few minor handling-marks; Unblemished textblock edges; The endpapers and all text pages are clean and unmarked; Good binding; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5"-9.75" tall); Light blue and black covers with title in white lettering; 2011, CRC Press; 384 pages; "Music Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series), " by Tao Li, et al.
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New. Sewn binding. Cloth over boards. 384 p. Contains: Unspecified, Illustrations, black & white, Tables, black & white. Chapman & Hall/CRC Data Mining and Knowledge Discovery.
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New. Print on demand Sewn binding. Cloth over boards. 384 p. Contains: Unspecified, Illustrations, black & white, Tables, black & white. Chapman & Hall/CRC Data Mining and Knowledge Discovery.
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Fine. Sewn binding. Cloth over boards. 384 p. Contains: Unspecified, Illustrations, black & white, Tables, black & white. Chapman & Hall/CRC Data Mining and Knowledge Discovery. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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Seller's Description:
New. Sewn binding. Cloth over boards. 384 p. Contains: Unspecified, Illustrations, black & white, Tables, black & white. Chapman & Hall/CRC Data Mining and Knowledge Discovery. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Fine. Sewn binding. Cloth over boards. 384 p. Contains: Unspecified, Illustrations, black & white, Tables, black & white. Chapman & Hall/CRC Data Mining and Knowledge Discovery. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.