Description: About this Item The item is a book Hardback The Author Name is Charu C. Aggarwal The Title is Outlier Analysis Condition New Other Comments Pages Count - 488. Binding type - Hardcover. Content Language - English Category - COMPUTERS / Data Science / Data Analytics COMPUTERS / Mathematical & Statistical Software COMPUTERS / Artificial Intelligence / General Product Description - This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories:Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional subspace methods, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data. Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner. The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details  are provided automatically  from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.  The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling.   Gift IdeasThis is a  great Christmas gift idea.   Hours of ServiceWe have many warehouses,  some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 165906998
Price: 108.91 USD
Location: US
End Time: 2025-02-10T17:39:48.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: COMPUTERS / Data Science / Data Analytics
Brand: Springer International Publishing AG
Weight: 1.06
Style: NA
Title: Outlier Analysis
Release Title: Outlier Analysis
Record Grading: New
Sleeve Grading: New
Platform: NA
Size: NA
Film/TV Title: Outlier Analysis
Colour: NA
Material: NA
Department: NA
Binding Type: Hardcover
Item Height: 26.92
Main Stone: NA
Metal Purity: NA
Metal: NA
Connectivity: NA
Model: NA
Number of Pages: Xxii, 466 Pages
Language: English
Publication Name: Outlier Analysis
Publisher: Springer International Publishing A&G
Publication Year: 2016
Subject: Mathematical & Statistical Software, Probability & Statistics / General, Databases / Data Mining
Type: Textbook
Item Weight: 371.7 Oz
Author: Charu C. Aggarwal
Item Length: 10 in
Subject Area: Mathematics, Computers
Item Width: 7 in
Format: Hardcover