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Data Mining and Market Intelligence for Optimal Marketing Returns

The authors present a practical and highly informative perspective on the elements that are crucial to the success of a marketing campaign;

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Big Data Analytics

. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;

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Big Data Analytics

. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;

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Marketing and Smart Technologies

intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and;

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Data Mining Methods and Applications

Employ data mining in research and forecasting Build models with data management tools and methodology optimization Gain sophisticated;

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Data Mining for Business Intelligence

and marketing. Research magazine Shmueli et al. have done a wonderful job in presenting the field of data mining a welcome addition to the;

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Mining Over Air

machine learning and data mining methodologies in the wireless networks domain. Mining Over Air describes the problems and their solutions for;

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Extracting Knowledge From Opinion Mining

, including the differences between ontology-based opinion mining and feature-based opinion mining, this book is an ideal reference source for;

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Integration Challenges for Analytics, Business Intelligence, and Data Mining

information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business;

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Decision Trees for Business Intelligence and Data Mining

This example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, business;

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Data Mining for Social Network Data

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved;

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Foundations of Computational Intelligence 06

techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part;

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Artificial Intelligence in Data Mining

Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI;

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Data Mining for Systems Biology

implementation advice that is useful for getting optimal results. Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols;

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Data Mining for Design and Marketing

Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make;

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Data Mining for Design and Marketing

Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make;

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Artificial Intelligence and Data Mining in Healthcare

This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific;

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Market Research and Modeling: Progress and Prospects

Scaling, Conjoint Analysis, Applications of Conjoint and MDS technique, Data Mining, Cluster Analysis, and Neural Networks.;

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Business Intelligence

postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations;

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Business Intelligence

postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations;

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Web Data Mining and Applications in Business Intelligence and Counter-Terrorism

businesses lost within a confusing maze of mechanisms and strategies for obtaining and managing crucial intelligence. Web Data Mining and;

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Advances on Data Mining: Applications and Theoretical Aspects

in topical sections on data mining in medicine and agriculture, data mining in marketing, data mining for Industrial processes and;

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Data Mining and Statistics for Decision Making

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from;

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Optimization and Inventory Management

, and data mining concepts. It also provides sensitivity analyses for the models' robustness. It presents a collection of mathematical models;

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Marketing Analytics

explosion of business data, has fundamentally altered the manner we collect, process, analyse and disseminate market intelligence. The increased;

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Data Mining Techniques 3rd

cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company;

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Strategic Innovative Marketing

, marketing has a lot to gain from collecting and analyzing data associated with customers, business processes, market economics or even data related;

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