Learn the algorithms and tools you need to build MapReduce applications with Hadoop and Spark for processing gigabyte, terabyte, or petabyte-sized datasets on clusters of commodity hardware. With this practical book, author Mahmoud Parsian, head of
This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of stat
Learn about data mining with real-world datasets About This Book Diverse real-world datasets to teach data mining techniques Practical and focused on real-world data mining cases, this book covers concepts such as spatial data mining, text mining, s
Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner. About This Book Build your confidence with R and find out how to solve a huge range of data-related
1．Consider the data set shown in Table 1（min_sup = 60%, min_conf=70%）. (a)Find all frequent itemsets using Apriori by treating each transaction ID as a market basket. (b)Use the results in part (a) to compute the confidence for the association rules
Supervised Descr iptive Pattern Mining ， Sebastián VenturaJosé María Luna，2018Sebastian ventura Jose maria luna
Supervised descr iptive
Pattern Mining
Springer
Sebastian ventura
Jose maria luna
Computer science
Computer Science
diversity of Cor
