Similar Search Results

The Intelligent Marketer’s Guide to Data Privacy : The Impact of Big Data on Customer Trust

Palmatier, Robert W.; Martin, Kelly D. - 2019

. This book fills the void by taking a customer-centric approach to privacy. It offers both defensive and offensive marketing … Marketing This book will be useful to managers, students, or the casual reader who is interested in how and why big data and … Privacy Legal Landscape -- 4. Big Data’s Marketing Applications and Customer Privacy -- 5. Inoculating Against Customer …

Persistent link: https://www.econbiz.de/10012396167

Mind genomics : a guide to data-driven marketing strategy

Milutinović, Veljko; Salom, Jakob - 2016

In this book, the authors describe how Mind Genomics works - a revolutionary marketing method that combines the three … father of Horizontal Segmentation - a widely accepted business model for targeted marketing and profit maximization. …

Persistent link: https://www.econbiz.de/10012398177

Intelligent Knowledge : A Study beyond Data Mining

Shi, Yong - 2015

Dedication -- Preface -- Data Mining and Knowledge Management -- Foundations of Intelligent Knowledge Management -- Intelligent Knowledge and Habitual Domain -- Domain Driven Intelligent Knowledge Discovery -- Knowledge-Incorporated Multiple Criteria Linear Programming Classifiers -- Knowledge...

Persistent link: https://www.econbiz.de/10014019765

Knowledge Discovery in Spatial Data

Leung, Yee - 2009

This book deals with knowledge discovery and data mining in spatial and temporal data, seeking to present novel methods that can be employed to discover spatial structures and processes in complex data. Spatial knowledge discovery is examined through the tasks of clustering, classification,...

Persistent link: https://www.econbiz.de/10014015106

Transportation Analytics in the Era of Big Data

Ukkusuri, Satish V. (ed.); Yang, Chao (ed.) - 2019

This book presents papers based on the presentations and discussions at the international workshop on Big Data Smart Transportation Analytics held July 16 and 17, 2016 at Tongji University in Shanghai and chaired by Professors Ukkusuri and Yang. The book is intended to explore a...

Persistent link: https://www.econbiz.de/10012395880

Big Data Management

García Márquez, Fausto Pedro (ed.); Lev, Benjamin (ed.) - 2017

, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The …

Persistent link: https://www.econbiz.de/10012396332

The Co-Creation Edge : Harnessing Big Data to Transform Sales and Procurement for Business Innovation

Gouillart, Francis - 2016

Rapid changes in business along with better informed customers threaten the traditional sales and procurement process. Thousands of sales and procurement people are threatened with extinction, yet all is not destined to be doom and gloom. A new way of partnering between these two roles can, in...

Persistent link: https://www.econbiz.de/10012398144

A Primer on Process Mining : Practical Skills with Python and Graphviz

Ferreira, Diogo R. - 2017

The main goal of this book is to explain the core ideas of process mining, and to demonstrate how they can be implemented using just some basic tools that are available to any computer scientist or data scientist. It describes how to analyze event logs in order to discover the behavior of...

Persistent link: https://www.econbiz.de/10012398334

New Horizons for a Data-Driven Economy : A Roadmap for Usage and Exploitation of Big Data in Europe

Cavanillas, José María (ed.); Curry, Edward (ed.); … - 2016 - 1st ed. 2016

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the...

Persistent link: https://www.econbiz.de/10011685638

Datenbasiert entscheiden : ein Leitfaden für Unternehmer und Entscheider

Niebler, Paul; Lindner, Dominic - 2019

Dieses Buch befasst sich mit der zielgerichteten Auswertung von vorhandenen Daten im Unternehmen. Während früher viele Entscheidungen aus dem Bauch heraus getroffen wurden, sind heute die resultierenden Erfolge durch das gestiegene Datenvolumen so gut messbar wie nie zuvor. Doch nicht jede...

Persistent link: https://www.econbiz.de/10012401671