Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
|
Buy Now
Outlier Analysis (Hardcover, 2nd ed. 2017)
Loot Price: R1,856
Discovery Miles 18 560
You Save: R196
(10%)
|
|
Outlier Analysis (Hardcover, 2nd ed. 2017)
Expected to ship within 12 - 17 working days
|
Donate to Against Period Poverty
Total price: R1,876
Discovery Miles: 18 760
|
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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.