Traffic Mining Applied to Police Activities, Leuzzi
Автор: Lars Eld?n Название: Matrix Methods in Data Mining and Pattern Recognition ISBN: 0898716268 ISBN-13(EAN): 9780898716269 Издательство: Cambridge Academ Рейтинг: Цена: 60190.00 T Наличие на складе: Поставка под заказ. Описание: Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB. In Part II, linear algebra techniques are applied to data mining problems. Part III is a brief introduction to eigenvalue and singular value algorithms. The applications discussed include classification of handwritten digits, text mining, text summarization, pagerank computations related to the Google search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.
Автор: Harold Kushner Название: Heavy Traffic Analysis of Controlled Queueing and Communication Networks ISBN: 146126541X ISBN-13(EAN): 9781461265412 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: One of the first books in the timely and important area of heavy traffic analysis of controlled and uncontrolled stochastics networks, by one of the leading authors in the field. The general theory is developed, with possibly state dependent parameters, and specialized to many different cases of practical interest.
Автор: Giudici, Paolo Figini, Silvia Название: Applied data mining for business and industry ISBN: 0470058862 ISBN-13(EAN): 9780470058862 Издательство: Wiley Рейтинг: Цена: 137230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Offers an introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications. This book features case studies based on applied projects within industry.
Автор: Bart Custers; Toon Calders; Bart Schermer; Tal Zar Название: Discrimination and Privacy in the Information Society ISBN: 3642441130 ISBN-13(EAN): 9783642441134 Издательство: Springer Рейтинг: Цена: 139310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses discrimination and privacy issues related to data mining and profiling practices, showing how access controls and anonymity fail to properly resolve concerns, and proposing new solutions based in design, transparency and accountability.
Introduction.- Indoor hygrothermal conditions.- Data mining techniques.- Case Study.- Application of data mining techniques.- Conclusions.
Автор: Benson Mick Название: Advanced Text Mining and Applied Principles ISBN: 1632400286 ISBN-13(EAN): 9781632400284 Издательство: Неизвестно Цена: 117960.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Alexander Paprotny; Michael Thess Название: Realtime Data Mining ISBN: 3319013203 ISBN-13(EAN): 9783319013206 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: ГЇВїВЅ ГЇВїВЅ ГЇВїВЅ ГЇВїВЅ Describing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Engines features a sound mathematical framework unifying approaches based on control and learning theories, tensor factorization, and hierarchical methods.
Автор: Bhatia Surbhi, Chaudhary Poonam, Dey Nilanjan Название: Opinion Mining in Information Retrieval ISBN: 9811550425 ISBN-13(EAN): 9789811550423 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses in detail the latest trends in sentiment analysis,focusing on "how online reviews and feedback reflect the opinions of users and have led to a major shift in the decision-making process at organizations." Social networking has become essential in today`s society.
Автор: Adarsh Anand, Mangey Ram Название: Systems Performance Modeling ISBN: 3110604507 ISBN-13(EAN): 9783110604504 Издательство: Walter de Gruyter Рейтинг: Цена: 148700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation. Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications.
De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences (AMEIS) focusses on the latest applications of engineering and information technology that are possible only with the use of mathematical methods. By identifying the gaps in knowledge of engineering applications the AMEIS series fosters the international interchange between the sciences and keeps the reader informed about the latest developments.
Автор: Xu, Guandong Название: Applied Data Mining ISBN: 1466585838 ISBN-13(EAN): 9781466585836 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Putler, Daniel S. Название: Customer and Business Analytics ISBN: 1466503963 ISBN-13(EAN): 9781466503960 Издательство: Taylor&Francis Рейтинг: Цена: 80630.00 T Наличие на складе: Нет в наличии.
Автор: Muazu Musa Название: Data Mining and Machine Learning in High-Performance Sport ISBN: 9811970483 ISBN-13(EAN): 9789811970481 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explores the application of data mining and machine learning techniques in studying the activity pattern, decision-making skills, misconducts, and actions resulting in the intervention of VAR in European soccer leagues referees. The game of soccer at the elite level is characterised by intense competitions, a high level of intensity, technical, and tactical skills coupled with a long duration of play. Referees are required to officiate the game and deliver correct and indisputable decisions throughout the duration of play. The increase in the spatial and temporal task demands of the game necessitates that the referees must respond and cope with the physiological and psychological loads inherent in the game. The referees are also required to deliver an accurate decision and uphold the rules and regulations of the game during a match. These demands and attributes make the work of referees highly complex. The increasing pace and complexity of the game resulted in the introduction of the Video Assistant Referee (VAR) to assist and improve the decision-making of on-field referees. Despite the integration of VAR into the current refereeing system, the performances of the referees are yet to be error-free. Machine learning coupled with data mining techniques has shown to be vital in providing insights from a large dataset which could be used to draw important inferences that can aid decision-making for diagnostics purposes and overall performance improvement. A total of 6232 matches from 5 consecutive seasons officiated across the English Premier League, Spanish LaLiga, Italian Serie A as well as the German Bundesliga was studied. It is envisioned that the findings in this book could be useful in recognising the activity pattern of top-class referees, that is non-trivial for the stakeholders in devising strategies to further enhance the performances of referees as well as empower talent identification experts with pertinent information for mapping out future high-performance referees.
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