MARC details
| 000 -LEADER |
|---|
| fixed length control field |
04408nam a22005295i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20231104114435.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
150907s2015 xxk| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781447167501 |
| Canceled/invalid ISBN |
978-1-4471-6750-1 |
| 024 7# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
10.1007/978-1-4471-6750-1 |
| Source of number or code |
doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.9.D343 |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
UNF |
| Source |
bicssc |
|
|---|
| Subject category code |
COM021030 |
| Source |
bisacsh |
|
|---|
| Subject category code |
UNF |
| Source |
thema |
|
|---|
| Subject category code |
UYQE |
| Source |
thema006.312 |
| -- |
23 |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
İngilizce |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Weiss, Sholom M. |
| Relator term |
author. |
| Relator code |
aut |
| -- |
http://id.loc.gov/vocabulary/relators/aut |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Fundamentals of Predictive Text Mining / |
| Statement of responsibility, etc. |
by Sholom M. Weiss, Nitin Indurkhya, Tong Zhang. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
2nd ed. 2015. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
London : |
| Name of producer, publisher, distributor, manufacturer |
Springer London : |
| -- |
Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2015. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| File type |
text file |
| Encoding format |
PDF |
| Source |
rda |
| 490 0# - SERIES STATEMENT |
|---|
| Series statement |
Texts in Computer Science, |
| International Standard Serial Number |
1868-0941 |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Overview of Text Mining -- From Textual Information to Numerical Vectors -- Using Text for Prediction -- Information Retrieval and Text Mining -- Finding Structure in a Document Collection -- Looking for Information in Documents -- Data Sources for Prediction: Databases, Hybrid Data and the Web -- Case Studies -- Emerging Directions. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This successful textbook on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, databases, and computational linguistics. Serving also as a practical guide, this unique book provides helpful advice illustrated by examples and case studies. This highly anticipated second edition has been thoroughly revised and expanded with new material on deep learning, graph models, mining social media, and errors and pitfalls in big data evaluation, Twitter sentiment analysis, and dependency parsing discussion. The fully updated content also features in-depth discussions on issues of document classification, information retrieval, clustering and organizing documents, information extraction, web-based data-sourcing, and prediction and evaluation. Topics and features: Presents a comprehensive, practical and easy-to-read introduction to text mining Includes chapter summaries, useful historical and bibliographic remarks, and classroom-tested exercises for each chapter Explores the application and utility of each method, as well as the optimum techniques for specific scenarios Provides several descriptive case studies that take readers from problem description to systems deployment in the real world Describes methods that rely on basic statistical techniques, thus allowing for relevance to all languages (not just English) Contains links to free downloadable industrial-quality text-mining software and other supplementary instruction material Fundamentals of Predictive Text Mining is an essential resource for IT professionals and managers, as well as a key text for advanced undergraduate computer science students and beginning graduate students. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data mining. |
|
|---|
| Topical term or geographic name entry element |
Natural language processing (Computer science). |
|
|---|
| Topical term or geographic name entry element |
Information systems. |
|
|---|
| Topical term or geographic name entry element |
Information storage and retrieva. |
|
|---|
| Topical term or geographic name entry element |
Database management. |
|
|---|
| Topical term or geographic name entry element |
Data Mining and Knowledge Discovery. |
| Authority record control number or standard number |
http://scigraph.springernature.com/things/product-market-codes/I18030 |
|
|---|
| Topical term or geographic name entry element |
Natural Language Processing (NLP). |
| Authority record control number or standard number |
http://scigraph.springernature.com/things/product-market-codes/I21040 |
|
|---|
| Topical term or geographic name entry element |
Computer Appl. in Administrative Data Processing. |
| Authority record control number or standard number |
http://scigraph.springernature.com/things/product-market-codes/I2301X |
|
|---|
| Topical term or geographic name entry element |
Information Storage and Retrieval. |
| Authority record control number or standard number |
http://scigraph.springernature.com/things/product-market-codes/I18032 |
|
|---|
| Topical term or geographic name entry element |
Database Management. |
| Authority record control number or standard number |
http://scigraph.springernature.com/things/product-market-codes/I18024 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Indurkhya, Nitin. |
| Relator term |
author. |
| Relator code |
aut |
| -- |
http://id.loc.gov/vocabulary/relators/aut |
|
|---|
| Personal name |
Zhang, Tong. |
| Relator term |
author. |
| Relator code |
aut |
| -- |
http://id.loc.gov/vocabulary/relators/aut |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-1-4471-6750-1">https://doi.org/10.1007/978-1-4471-6750-1</a> |
| Materials specified |
Springer eBooks |
| Public note |
Online access link to the resource |
| 912 ## - |
|---|
| -- |
ZDB-2-SCS |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
E-Book |
