practical data mining techniques (168 resultados)

Condición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Tapa blanda. Condición: Excelente.

Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Condición: Sehr gut. Zustand: Sehr gut | Seiten: 70 | Sprache: Englisch | Produktart: Bücher.

Soft cover. Condición: New. ISBN:9789351073895,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

Soft cover. Condición: New. ISBN:9781108727747,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

Soft cover. Condición: New. ISBN:9781108727747.

Format groß 8°, broschiert, 368 Seiten, dies ist ein regulär ausgesondertes Bibliotheksexemplar aus einer wissenschaftlichen Bibliothek, keine Markierungen / Anmerkungen, das Buch befindet sich in einem guten Zustand --- Softcover, 368 pages, Lib.Ex., no marks, the book is in a good condition. Shipping to abroad insured with tracking number.

Condición: New. In.

Condición: NEW.

Condición: New. 5th edition NO-PA16APR2015-KAP.

Soft cover. Condición: New. Language:Chinese.Author:(XIN XI LAN)WEI TENG (Witten I.H.) (XIN XI LAN)FU LAN KE (Frank E.) DONG LIN DENG YI.Binding:Soft cover.Publisher:Machinery Industry Press Pub. Date :2006-02-01.

Paperback. Condición: Like New. Like New. book.

Condición: New.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Evaluation Techniques in Data Mining - A Practical Guide serves as an essential resource for practitioners involved in data mining projects. This book outlines various evaluation methodologies that ensure the effectiveness and reliability of data mining models. Readers will gain insights into performance metrics, validation techniques, and best practices for assessing model accuracy. By applying these evaluation techniques, data scientists and analysts can enhance their model development processes and improve the quality of their insights. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. A Practical Guide to Bayesian Data Mining Techniques offers an insightful examination of the principles and applications of Bayesian methods in data mining. This book is designed for practitioners and researchers who wish to harness the power of Bayesian statistics to extract valuable insights from complex datasets. It covers a variety of techniques, illustrating how they can be applied to real-world problems across different fields. The text emphasizes practical implementation, providing readers with the tools needed to apply Bayesian approaches effectively. This guide is a must-read for anyone looking to deepen their understanding of data mining through a Bayesian lens. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. In 'Practical Data Mining Techniques for Small Businesses', the author introduces accessible data mining strategies specifically designed for small enterprises. This book emphasizes the importance of data-driven decision-making and provides practical techniques that can be implemented without extensive resources. By showcasing real-life examples, it demonstrates how small businesses can extract valuable insights from their data to enhance operations and customer engagement. This resource is vital for entrepreneurs and small business owners looking to harness the power of data mining. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

paperback. Condición: New. Paperback. Pub Date :2014-05-01 Pages: 480 Publisher: Machinery Industry Press. Data Mining: Practical Machine Learning Tools and Techniques (original book 3rd edition) is a classic in the field of machine learning and data mining. the best-selling textbook. is Many foreign schools selected materials. The book describes in detail the techniques and tools of machine learning and data mining practices for the field. and provides an open platform for data mining Weka. This book includes: data in.

paperback. Condición: New. Paperback Language: English Ian of H. Witten. Eibe Frank. and by Mark A. Hall: Data Mining: Practical Machine Learning Tools and Techniques. Third Edition (ISBN 978-0-12-374856-0). Original English language edition copyright 2011 by Elsevier Inc. All rights reserved. Authorized English language reprint edition published by the Proprietor. Copyright 2012 by Elsevier (Singapore) Pte Ltd. Printed in China by China Machine Press under special arrangement with Elsevier (Singapore) Pte Ltd. This ed.

paperback. Condición: New. Language:Chinese.Paperback. Pub Date: 2018-03-01 Pages: 417 Publisher: mechanical industry publishing house book is a classic in the field of data mining and machine learning popular teaching material. by many famous universities at home and abroad to choose.Have been added to version 4 important chapters about deep learning and probability method. at the same time. the popular machine learning software Weka also upgrade again.Fully covered in the book of the field.

paperback. Condición: New. Language:Chinese.Paperback. Pub Date: 2017-05-01 Pages: $number Publisher: Machinery Industry Publishing House This book is the data mining and machine learning in the field of classic best-selling textbooks. by many prestigious schools at home and abroad selected. The 4th edition fully reflects the new technological changes in this field. including the key chapters on probabilistic methods and deep learning. In addition. the popular machine learning software Weka again .