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Data Mining and Analysis_Fundamental Concepts and Algorithms_201...
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2014-04-28
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Data Mining and Analysis_Fundamental Concepts and Algorithms_2014
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Data Mining and Analysis:
Foundations and Algorithms
Mohammed J. Zaki
D A T A M I N ING AND ANALYS IS
The fundamental algorithms in data mining and analysis form the basis
for the emerging field of data science, which in cludes automated meth-
ods to analyze patterns and models for all kinds of data, with applications
ranging from scientific di scovery to business intelligence and analytics.
This textbook for senior undergraduate and graduate data mining courses
provides a broad yet in-depth overview of data mining, integrating related
concepts from machine learning and statistics. The main parts of the book
include exploratory data analysis, pattern mining, clustering, and classifi-
cation. Th e book lays the basic foundations of these tasks, and also co vers
cutting-edge topics such as kernel methods, high-dimensional data analy-
sis, and complex graphs and networks. With its comprehensive coverage,
algorithmic perspective, and wealth of examples, this book offers solid
guidance in data min i ng for students, researchers, and practitioners alike.
Key Features:
•
Covers both core methods and cutting-edge research
•
Algorithmic approach with open-source imp l ementations
•
Minimal prerequisites, as all key mathematical concepts are pre-
sented, as is the intuition behind the formulas
•
Short, self-contained chapters wi th class-tested examples and exer-
cises that allow for flexibility in designing a course and for easy
reference
•
Supplementary online resou rce containing lecture slides, videos,
project ideas, and more
Mohammed J. Zaki is a Professor of Computer Science at Rensselaer
Polytechnic Institute, Troy, New York.
Wagner Meira Jr. is Associate Professor of Computer Science at Univer-
sidade Federal de Minas Gerais, Brazil.
DATA MINING
AND ANALYSIS
Foundations and Algorithms
MOHAMMED J. ZAKI
Rensselaer Polytechnic Institute, Troy, New York
WAGNER MEIRA, JR.
Universidade Federal de Minas Gerais, Brazil
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