Computer Science & Engineering

Machine Learning and Pattern Recognition

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Data Mining with R: Learning with Case Studies, Second Edition

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Luis Torgo
January 19, 2017

Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The first part will feature introductory material, includi...

Modern Data Science with R

Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton
February 02, 2017

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical...

Data Mining with R: Learning with Case Studies, Second Edition

Luis Torgo
January 19, 2017

Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The first part will feature introductory material,...

Biometrics in a Data Driven World: Trends, Technologies, and Challenges

Sinjini Mitra, Mikhail Gofman
December 15, 2016

Biometrics in a Data Driven World: Trends, Technologies, and Challenges aims to inform readers about the modern applications of biometrics in the context of a data-driven society, to familiarize them with the rich history of biometrics, and to provide them with a glimpse into the future of...

Data Mining: A Tutorial-Based Primer, Second Edition

Richard J. Roiger
December 01, 2016

"Dr. Roiger does an excellent job of describing in step by step detail formulae involved in various data mining algorithms, along with illustrations. In addition, his tutorials in Weka software provide excellent grounding for students in comprehending the underpinnings of Machine Learning as...

Biometrics in Support of Military Operations: Lessons from the Battlefield

William C. Buhrow
November 22, 2016

Biometrics in Support of Military Operations: Lessons from the Battlefield examines and evaluates recent U.S. military experiences in Iraq and Afghanistan in the context of the use of biometrics and related technologies. The book takes a comprehensive look at how biometrics has been used to support...

Learning with Uncertainty

Xizhao Wang, Junhai Zhai
November 16, 2016

Learning with uncertainty covers a broad range of scenarios in machine learning, this book mainly focuses on: (1) Decision tree learning with uncertainty, (2) Clustering under uncertainty environment, (3) Active learning based on uncertainty criterion, and (4) Ensemble learning in a framework of...

Big Data in Complex and Social Networks

My T. Thai, Weili Wu, Hui Xiong
November 08, 2016

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of four parts, covering a wide range of topics. The first part of the book focuses on data storage and data processing. It explores how the...

Visual Tracking in Conventional Minimally Invasive Surgery

Shahram Payandeh
October 14, 2016

Visual Tracking in Conventional Minimally Invasive Surgery introduces the various tools and methodologies that can be used to enhance a conventional surgical setup with some degree of automation. The main focus of this book is on methods for tracking surgical tools and how they can be used to...

New Directions in Behavioral Biometrics

Khalid Saeed
October 14, 2016

Automatic biometrics recognition techniques are increasingly important in corporate and public security systems and have increased in methods due to rapid field development. This book discusses classic behavioral biometrics as well as collects the latest advances in techniques, theoretical...

A First Course in Machine Learning, Second Edition

Simon Rogers, Mark Girolami
August 15, 2016

"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes...

Big Data and Social Science: A Practical Guide to Methods and Tools

Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia Lane
August 09, 2016

Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on...

Machine Learning: Algorithms and Applications

Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier
July 18, 2016

Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more practical approach by explaining the...

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