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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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. 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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. 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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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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Employ data mining in research and forecasting Build models with data management tools and methodology optimization Gain sophisticated;
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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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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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, 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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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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This example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, business;
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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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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: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI;
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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 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 shows how to design and integrate data mining tools into human thinking processes in order to make;
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This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific;
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Scaling, Conjoint Analysis, Applications of Conjoint and MDS technique, Data Mining, Cluster Analysis, and Neural Networks.;
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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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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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businesses lost within a confusing maze of mechanisms and strategies for obtaining and managing crucial intelligence. Web Data Mining and;
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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 is the process of automatically searching large volumes of data for models and patterns using computational techniques from;
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, and data mining concepts. It also provides sensitivity analyses for the models' robustness. It presents a collection of mathematical models;
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explosion of business data, has fundamentally altered the manner we collect, process, analyse and disseminate market intelligence. The increased;
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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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, 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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