Data Mining and Market Intelligence: Implications for Decision Making, Mustapha Akinkunmi
Автор: Mustapha Akinkunmi Название: Data Mining and Market Intelligence: Implications for Decision Making ISBN: 1681733226 ISBN-13(EAN): 9781681733227 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 92400.00 T Наличие на складе: Невозможна поставка. Описание: This book is written to address the issues relating to data gathering, data warehousing, and data analysis, all of which are useful when working with large amounts of data. Using practical examples of market intelligence, this book is designed to inspire and inform readers on how to conduct market intelligence by leveraging data and technology, supporting smart decision making. The book explains some suitable methodologies for data analysis that are based on robust statistical methods. For illustrative purposes, the author uses real-life data for all the examples in this book. In addition, the book discusses the concepts, techniques, and applications of digital media and mobile data mining.Hence, this book is a guide tool for policy makers, academics, and practitioners whose areas of interest are statistical inference, applied statistics, applied mathematics, business mathematics, quantitative techniques, and economic and social statistics.
Автор: Lior Rokach Название: Data Mining with Decision Trees ISBN: 981459007X ISBN-13(EAN): 9789814590075 Издательство: World Scientific Publishing Цена: 110880.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced.
This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition.
This book invites readers to explore the many benefits in data mining that decision trees offer:
Self-explanatory and easy to follow when compacted
Able to handle a variety of input data: nominal, numeric and textual
Scales well to big data
Able to process datasets that may have errors or missing values
High predictive performance for a relatively small computational effort
Available in many open source data mining packages over a variety of platforms
Useful for various tasks, such as classification, regression, clustering and feature selection
Автор: Tuffery Название: Data Mining and Statistics for Decision Making ISBN: 0470688297 ISBN-13(EAN): 9780470688298 Издательство: Wiley Рейтинг: Цена: 74920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge.
Автор: Zaman, Elhassan Seliaman, Fadzil Название: Handbook Of Research On Trends And Future Directions In Big Data And Web Intelligence ISBN: 1466685050 ISBN-13(EAN): 9781466685055 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 277200.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Big data is a well-trafficked subject in recent IT discourse and does not lack for current research. In fact, there is such a surfeit of material related to big data—and so much of it of questionably reliability, thanks to the high-gloss efforts of savvy tech-marketing gurus—that it can, at times, be difficult for a serious academician to navigate.The Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence cuts through the haze of glitz and pomp surrounding big data and offers a simple, straightforward reference-source of practical academic utility. Covering such topics as cloud computing, parallel computing, natural language processing, and personalized medicine, this volume presents an overview of current research, insight into recent advances, and gaps in the literature indicative of opportunities for future inquiry and is targeted toward a broad, interdisciplinary audience of students, academics, researchers, and professionals in fields of IT, networking, and data-analytics.
Автор: Azevedo & Filipe Santos Название: Integration Of Data Mining In Business Intelligence Systems ISBN: 1466664770 ISBN-13(EAN): 9781466664777 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 194040.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries.Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.
Автор: Lin Yuming Et Al Название: Opinion Analysis For Online Reviews ISBN: 9813100435 ISBN-13(EAN): 9789813100435 Издательство: World Scientific Publishing Рейтинг: Цена: 103490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a comprehensive introduction on opinion analysis for online reviews. It offers the newest research on opinion mining, including theories, algorithms and datasets. A new feature presentation method is highlighted for sentiment classification. Then, a three-phase framework for sentiment classification is proposed, where a set of sentiment classifiers are selected automatically to make predictions. Such predictions are integrated via ensemble learning. Finally, to solve the problem of combination explosion encountered, a greedy algorithm is devised to select the base classifiers.
Автор: Lin Yuming Et Al Название: Opinion Analysis For Online Reviews ISBN: 9813100443 ISBN-13(EAN): 9789813100442 Издательство: World Scientific Publishing Рейтинг: Цена: 61250.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a comprehensive introduction on opinion analysis for online reviews. It offers the newest research on opinion mining, including theories, algorithms and datasets. A new feature presentation method is highlighted for sentiment classification. Then, a three-phase framework for sentiment classification is proposed, where a set of sentiment classifiers are selected automatically to make predictions. Such predictions are integrated via ensemble learning. Finally, to solve the problem of combination explosion encountered, a greedy algorithm is devised to select the base classifiers.
Автор: Himansu Sekhar Behera; Durga Prasad Mohapatra Название: Computational Intelligence in Data Mining—Volume 1 ISBN: 8132227328 ISBN-13(EAN): 9788132227328 Издательство: Springer Рейтинг: Цена: 174150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book is a collection of high-quality peer-reviewed research papers presented in the Second International Conference on Computational Intelligence in Data Mining (ICCIDM 2015) held at Bhubaneswar, Odisha, India during 5 - 6 December 2015.
Автор: Himansu Sekhar Behera; Durga Prasad Mohapatra Название: Computational Intelligence in Data Mining ISBN: 9811038732 ISBN-13(EAN): 9789811038730 Издательство: Springer Рейтинг: Цена: 279500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book presents high quality papers presented at the International Conference on Computational Intelligence in Data Mining (ICCIDM 2016) organized by School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India during December 10 - 11, 2016.
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