عنوان

Knowledge discovery for business information systems /

شابک

0792372433

شابک

9780792372431

شماره

b428030

عنوان اصلي

Knowledge discovery for business information systems /

نام عام مواد

[Book]

نام نخستين پديدآور

edited by Witold Abramowicz, Jozef Zurada

محل نشرو پخش و غیره

Boston :

نام ناشر، پخش کننده و غيره

Kluwer Academic Publishers,

تاریخ نشرو بخش و غیره

©2001

نام خاص و کميت اثر

xvii, 431 pages :

ساير جزييات

illustrations ;

ابعاد

25 cm

عنوان فروست

The Kluwer international series in engineering and computer science ;

مشخصه جلد

SECS 600

متن يادداشت

Includes bibliographical references and index

متن يادداشت

Information Filters Supplying Data Warehouses with Benchmarking Information -- Parallel Mining of Association Rules -- Unsupervised Feature Ranking and Selection -- Approaches to Concept Based Exploration of Information Resources -- Hybrid Methodology of Knowledge Discovery for Business Information -- Fuzzy Linguistic Summaries of Databases for an Efficient Business Data Analysis and Decision Support -- Integrating Data Sources Using a Standardized Global Dictionary -- Maintenance of Discovered Association Rules -- Multidimensional Business Process Analysis with the Process Warehouse -- Amalgamation of Statistics and Data Mining Techniques: Explorations in Customer Lifetime Value Modeling -- Robust Business Intelligence Solutions -- The Role of Granular Information in Knowledge Discovery in Databases -- Dealing with Dimensions in Data Warehousing -- Enhancing the KDD Process in the Relational Database Mining Framework by Quantitative Evaluation of Association Rules -- Speeding up Hypothesis Development -- Sequence Mining in Dynamic and Interactive Environments -- Investigation of Artificial Neural Networks for Classifying Levels of Financial Distress of Firms: The Case of an Unbalanced Training Sample

بدون عنوان

0

متن يادداشت

Current database technology and computer hardware allow us to gather, store, access, and manipulate massive volumes of raw data in an efficient and inexpensive manner. In addition, the amount of data collected and warehoused in all industries is growing every year at a phenomenal rate. Nevertheless, our ability to discover critical, non-obvious nuggets of useful information in data that could influence or help in the decision making process, is still limited. Knowledge discovery (KDD) and Data Mining (DM) is a new, multidisciplinary field that focuses on the overall process of information discovery from large volumes of data. The field combines database concepts and theory, machine learning, pattern recognition, statistics, artificial intelligence, uncertainty management, and high-performance computing. To remain competitive, businesses must apply data mining techniques such as classification, prediction, and clustering using tools such as neural networks, fuzzy logic, and decision trees to facilitate making strategic decisions on a daily basis

موضوع مستند نشده

Data mining

موضوع مستند نشده

Database searching

موضوع مستند نشده

Knowledge acquisition (Expert systems)

موضوع مستند نشده

QA

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Abramowicz, Witold

مستند نام اشخاص تاييد نشده

Zurada, Jozef,1949-

تاريخ عمليات

20160122204058.0

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y