عنوان

Data mining :

شابک

0080890369

شابک

0123748569

شابک

9780080890364

شابک

9780123748560

شابک اشتباه

0123748569

شابک اشتباه

9780123748560

شماره

b723451

عنوان اصلي

Data mining :

نام عام مواد

[Book]

ساير اطلاعات عنواني

practical machine learning tools and techniques /

نام نخستين پديدآور

Ian H. Witten, Eibe Frank, Mark A. Hall.

وضعيت ويراست

3rd ed.

محل نشرو پخش و غیره

Burlington, MA :

نام ناشر، پخش کننده و غيره

Morgan Kaufmann,

تاریخ نشرو بخش و غیره

©2011.

نام خاص و کميت اثر

1 online resource (xxxiii, 629 pages) :

ساير جزييات

illustrations

عنوان فروست

[Morgan Kaufmann series in data management systems]

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

What's it all about? -- Input : concepts, instances, and attributes -- Output : knowledge representation -- Algorithms : the basic methods -- Credibility : evaluating what's been learned -- Implementations : real machine learning schemes -- Data transformation -- Ensemble learning -- Moving on : applications and beyond -- Introduction to Weka -- The explorer -- The knowledge flow interface -- The experimenter -- The command-line interface -- Embedded machine learning -- Writing new learning schemes -- Tutorial exercises for the weka explorer.

بدون عنوان

0

متن يادداشت

Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research.

منبع سفارش / آدرس اشتراک

OverDrive, Inc.

منبع سفارش / آدرس اشتراک

Safari Books Online

شماره انبار

17A3B09F-4AF8-4A48-AA3C-1643A493DA6F

شماره انبار

CL0500000158

عنوان

Data mining.

شماره استاندارد بين المللي کتاب و موسيقي

9780123748560

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Data Mining.

موضوع مستند نشده

COMPUTERS-- Database Management-- Data Mining.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

COM-- 021030

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Witten, I. H., (Ian H.)

مستند نام اشخاص تاييد نشده

Frank, Eibe

مستند نام اشخاص تاييد نشده

Hall, Mark A., (Mark Andrew)

تاريخ عمليات

20201209085220.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y