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Advanced Data Mining and Applications
  • Language: en
  • Pages: 812

Advanced Data Mining and Applications

This book constitutes the refereed proceedings of the 8th International Conference on Advanced Data Mining and Applications, ADMA 2012, held in Nanjing, China, in December 2012. The 32 regular papers and 32 short papers presented in this volume were carefully reviewed and selected from 168 submissions. They are organized in topical sections named: social media mining; clustering; machine learning: algorithms and applications; classification; prediction, regression and recognition; optimization and approximation; mining time series and streaming data; Web mining and semantic analysis; data mining applications; search and retrieval; information recommendation and hiding; outlier detection; topic modeling; and data cube computing.

Forecasting the Monthly Movements of Stock Prices
  • Language: en
  • Pages: 50

Forecasting the Monthly Movements of Stock Prices

  • Type: Book
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  • Published: 1930
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  • Publisher: Unknown

None

Deep Learning Architectures
  • Language: en
  • Pages: 760

Deep Learning Architectures

This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language, presenting the best practices of the former and enjoying the robustness and elegance of the latter. This book can be used in a graduate course in deep learning, with the first few parts being accessible to senior undergraduates. In addition, the book will be of wide interest to machine learning researchers who are interested in a theoretical understanding of the subject.

2017 IEEE 19th Conference on Business Informatics (CBI)
  • Language: en

2017 IEEE 19th Conference on Business Informatics (CBI)

  • Type: Book
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  • Published: 2017-07-24
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  • Publisher: Unknown

Business Informatics is the scientific discipline targeting information processes and related phenomena in their socio economical business context, including companies, organisations, administrations and society in general As a field of study, it endeavours to take a systematic and analytic approach in adopting a multi disciplinary orientation that draws theories and practices from the fields of management science, organisational science, computer science, systems engineering, information systems, information management, social science, and economics information science The IEEE CBI 2017 is aimed at creating a forum for researchers and practitioners from the fields that contribute to the construction, use and maintenance of information systems and the organisational context in which they are embedded

Time Series Analysis and Its Applications
  • Language: en
  • Pages: 568

Time Series Analysis and Its Applications

  • Type: Book
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  • Published: 2014-01-15
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  • Publisher: Unknown

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Stock Market Modeling and Forecasting
  • Language: en
  • Pages: 166

Stock Market Modeling and Forecasting

  • Type: Book
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  • Published: 2013-04-05
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  • Publisher: Springer

Stock Market Modeling and Forecasting translates experience in system adaptation gained in an engineering context to the modeling of financial markets with a view to improving the capture and understanding of market dynamics. The modeling process is considered as identifying a dynamic system in which a real stock market is treated as an unknown plant and the identification model proposed is tuned by feedback of the matching error. Like a physical system, a financial market exhibits fast and slow dynamics corresponding to external (such as company value and profitability) and internal forces (such as investor sentiment and commodity prices) respectively. The framework presented here, consisti...

The Nature of Statistical Learning Theory
  • Language: en
  • Pages: 324

The Nature of Statistical Learning Theory

The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.

Introduction to Artificial Neural Systems
  • Language: en

Introduction to Artificial Neural Systems

  • Type: Book
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  • Published: 1995
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  • Publisher: Brooks/Cole

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11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021
  • Language: en
  • Pages: 803

11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021

This book presents the proceedings of the 11th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence, ICSCCW-2021, held in Antalya, Turkey, on August 23–24, 2021. The general scope of the book covers uncertain computation, decision making under imperfect information, neuro-fuzzy approaches, natural language processing, and other areas. The topics of the papers include theory and application of soft computing, computing with words, image processing with soft computing, intelligent control, machine learning, fuzzy logic in data mining, soft computing in business, economics, engineering, material sciences, biomedical engineering, and health care. This book is a useful guide for academics, practitioners, and graduates in fields of soft computing and computing with words. It allows for increasing of interest in development and applying of these paradigms in various real-life fields.

Head First Python
  • Language: en
  • Pages: 624

Head First Python

Ever wished you could learn Python from a book? Head First Python is a complete learning experience for Python that helps you learn the language through a unique method that goes beyond syntax and how-to manuals, helping you understand how to be a great Python programmer. You'll quickly learn the language's fundamentals, then move onto persistence, exception handling, web development, SQLite, data wrangling, and Google App Engine. You'll also learn how to write mobile apps for Android, all thanks to the power that Python gives you. We think your time is too valuable to waste struggling with new.