Text and Data Mining: The theory and practice of using TDM for scholarship in the humanities, Paul Verhaar
Автор: Paul Verhaar Название: Text and Data Mining: The theory and practice of using TDM for scholarship in the humanities ISBN: 1783304200 ISBN-13(EAN): 9781783304202 Издательство: Facet Рейтинг: Цена: 182970.00 T Наличие на складе: Нет в наличии. Описание: This book offers a broad and accessible introduction to research based on text and data mining (TDM), focusing specifically on the ways in which TDM has been applied within the humanities.
Автор: Kwartler Название: Text Mining in Practice with R ISBN: 1119282012 ISBN-13(EAN): 9781119282013 Издательство: Wiley Рейтинг: Цена: 58030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information.
Автор: Tsau Young Lin; Ying Xie; Anita Wasilewska; Churn- Название: Data Mining: Foundations and Practice ISBN: 3642097227 ISBN-13(EAN): 9783642097225 Издательство: Springer Рейтинг: Цена: 278580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains valuable studies in data mining from both foundational and practical perspectives. It covers a broad range of subjects, from a conceptual framework of data mining to the role of sample size, as well as many different fields of data mining.
Автор: Flanders, Julia Название: The Shape of Data in Digital Humanities Modeling Texts and Text-based Resources ISBN: 0367584034 ISBN-13(EAN): 9780367584030 Издательство: Taylor&Francis Рейтинг: Цена: 43890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses the need of humanities scholars for whom technology and data now play a large role in their research and teaching and who need deeper expertise in the area of data modeling and representation. The authors, all experts in digital humanities, offer a clear explanation of key technical principles, a grounded discussion of case stud
Автор: David S. Brown Название: Statistics and Data Visualization Using R: The Art and Practice of Data Analysis ISBN: 1544333862 ISBN-13(EAN): 9781544333861 Издательство: Sage Publications Рейтинг: Цена: 166850.00 T Наличие на складе: Поставка под заказ. Описание: Statistics and Data Visualization Using R: The Art and Practice of Data Analysis teaches students statistics visually, focusing on interpreting graphs and charts to learn statistical concepts, from the mean through regression.
Автор: Pawel Cichosz Название: Data Mining Algorithms: Explained Using R ISBN: 111833258X ISBN-13(EAN): 9781118332580 Издательство: Wiley Рейтинг: Цена: 66470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles.
Автор: Klepac, Kopal & Mrsic Название: Developing Churn Models Using Data Mining Techniques And Social Network Analysis ISBN: 1466662883 ISBN-13(EAN): 9781466662889 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 180180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and manageing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios.Developing Churn Models Using Data Mining Techniques and Social Network Analysis provides an in-depth analysis of attrition modeling relevant to business planning and management. Through its insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytics tools, this publication is especially relevant to managers, data specialists, business analysts, academicians, and upper-level students.
Автор: Jeffrey W. Alstete Название: Evaluating Scholarship and Research Impact: History, Practices, and Policy Development ISBN: 1787563901 ISBN-13(EAN): 9781787563902 Издательство: Emerald Рейтинг: Цена: 66390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book probes the dynamics of academic research and scholarship evaluation. Readers will learn about scholarly metric evolution, impact factors, disruptive technologies, and a myriad of forces affecting policy development at institutions through an examination of widely-used measurements and growing concerns about their influence.
Автор: Matignon Название: Data Mining Using SAS Enterprise Miner ISBN: 0470149019 ISBN-13(EAN): 9780470149010 Издательство: Wiley Рейтинг: Цена: 123500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data Mining Using SAS(r) Enterprise Miner introduces the reader to a wide variety of data mining techniques in SAS(r) Enterprise Miner. This first-of-a-kind book explains the purpose of -- and reasoning behind -- every node that is a part of Enterprise Miner with regard to SEMMA design and data mining analysis.
Автор: Vandana Sakhre, Uday Pratap Singh Название: Reactive Distillation: Advanced Control using Neural Networks ISBN: 3110656140 ISBN-13(EAN): 9783110656145 Издательство: Walter de Gruyter Рейтинг: Цена: 86720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Neural Networks is an integral part in machine learning and a known tool for controlling nonlinear processes. The area is under rapid development and provides a tool for modelling and controlling of advanced processes. This book provides a comprehensive overview for modelling, simulation, measurement and control strategies for reactive distillations using neural networks.
Автор: Chantal D. Larose, Daniel T. Larose Название: Data Science Using Python and R ISBN: 1119526817 ISBN-13(EAN): 9781119526810 Издательство: Wiley Рейтинг: Цена: 93930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Learn data science by doing data science
Data Science Using Python and R will get you plugged into the world's two most widespread open-source platforms for data science: Python and R.
Data science is hot. Bloomberg called data scientist "the hottest job in America." Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques.
Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R.
Those with analytics experience will appreciate having a one-stop shop for learning how to do data science using Python and R. Topics covered include data preparation, exploratory data analysis, preparing to model the data, decision trees, model evaluation, misclassification costs, na ve Bayes classification, neural networks, clustering, regression modeling, dimension reduction, and association rules mining.
Further, exciting new topics such as random forests and general linear models are also included. The book emphasizes data-driven error costs to enhance profitability, which avoids the common pitfalls that may cost a company millions of dollars.
Data Science Using Python and R provides exercises at the end of every chapter, totaling over 500 exercises in the book. Readers will therefore have plenty of opportunity to test their newfound data science skills and expertise. In the Hands-on Analysis exercises, readers are challenged to solve interesting business problems using real-world data sets.
Автор: Linoff Gordon S. Название: Data Analysis Using SQL and Excel ISBN: 111902143X ISBN-13(EAN): 9781119021438 Издательство: Wiley Рейтинг: Цена: 41190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A practical guide to data mining using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis SQL and Excel to perform sophisticated data analysis without the need for complex and expensive data mining tools.
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