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"Data mining can be revolutionary- but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets. Employing a "white box" methodology...
Author
Description
Leading companies are doing more than just collecting and storing data in large quantities--they're now driving their competitive strategies based on data-driven insights. And achieving impressive results: Identifying the most profitable customers, accelerating product innovation, optimizing supply chains and pricing, and leveraging the true drivers of financial performance. The secret weapon? Analytics--sophisticated quantitative and statistical...
Description
"This book brings together an international team of eighty experts to present readers with the next generation of data-mining application. Unlike other publications that take a strictly academic and theoretical approach, this book features authors who have successfully developed data mining solutions for a variety of customer types."--Jacket.
Description
"This book is a collection of knowledge from experts of database, information retrieval, machine learning, and knowledge management communities in developing models, methods and systems for XML data mining that can be used to address key issues and challenges in XML data mining"--Provided by publisher.
Author
Description
Data science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement...
Author
Description
"Data science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps such as data acquisition, preprocess, mining and prediction, and visualization tools for extracting insights from vast amounts of data using various scientific methods, algorithms, and processes. The readers will...
Author
Description
"In the fast moving world of the fourth industrial revolution not everyone needs to be a data scientist but everyone should be data literate, with the ability to read, analyze and communicate with data. It is not enough for a business to have the best technology if those using it don't understand the right questions to ask or how to use the information generated to make decisions. Be Data Literate is the essential guide to developing the curiosity,...
Author
Description
"This second installment in the Making Sense of Data series continues to explore a diverse range of commonly used approaches to making and communicating decisions from data. Delving into more technical topics, this book equips readers with advanced data mining methods that are needed to successfully translate raw data into smart decisions across various fields of research including business, engineering, finance, and the social sciences." "Each method...
Author
Description
"The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the 'natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit,...
Author
Description
Mining data requires a deep investment in people and time. How can you be sure you're building the right models? What tools help you connect with the customer's needs? With this hands-on book, you'll learn a flexible toolset and methodology for building effective analytics applications.
Author
Description
"Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges."--BOOK JACKET. "Is there a need for mining? Do you have the right tools? Do you have the people to do the work? Do you have sufficient funds allocated to the project? All these questions must be answered before embarking on a project. Data Mining provides singular guidance...
Author
Description
"The bizarre and captivating story of the most important person you've never heard of. The world we live in today, where everything is tracked by corporations and governments, originates with one manic, elusive, utterly unique man--as prone to bullying as he was to fits of surpassing generosity and surprising genius. His name was Hank Asher, and his life was a strange and spectacular show that changed the course of the future. In The Hank Show, critically...
Author
Description
"This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet. It covers mining ideas from several perspectives - statistics, data mining, linguistics, and information retrieval - and provides readers with the means to successfully complete text mining tasks on their own."--Jacket.
Author
Description
Readers [of this book] are given a solid foundation in the procedures associated with complex data analysis or data mining projects and are provided with concrete discussions of the most universal tasks and technical solutions related to the analysis of data, including: problem definitions; data preparation; data visualization; data mining; statistics; grouping methods; predictive modeling; deployment issues and applications. Throughout the book,...
Author
Description
Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals. Data science involves extracting, creating, and processing data to turn it into business value. With over 15 years of big data, predictive modeling, and business analytics experience, author...
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