Data mining to business analytics : (Record no. 278)

MARC details
000 -LEADER
fixed length control field 02601nam a2200229Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240819164813.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240814s2017 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783668519633
040 ## - CATALOGING SOURCE
Transcribing agency SIU
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.54 PAT 2017
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Patni, Jagdish Chandra.
245 ## - TITLE STATEMENT
Title Data mining to business analytics :
Remainder of title finance, budgeting and investments : an evolutionary approach
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Grin Verlag
Date of publication, distribution, etc. 2017
300 ## - PHYSICAL DESCRIPTION
Extent 56p
500 ## - GENERAL NOTE
General note Paperback / softback
520 ## - SUMMARY, ETC.
Summary, etc. Academic Paper from the year 2017 in the subject Computer Science - General, grade: 5, University of Petroleum and Energy Studies, language: English, abstract: This paper utilizes the distinctive mining techniques as an answer for business needs. It presents Finance, Budgeting and Investments as the principle working ground for the data mining algorithms actualized. With the increment of monetary globalization and development of information technology, financial data are being produced and gathered at an extraordinary pace. Thus, there has been a basic requirement for automated ways to deal with compelling and proficient usage of gigantic measure of data to support companies and people in doing the Business. Data mining is turning out to be strategically imperative region for some business associations including financial sector. Data mining helps the companies to search for hidden example in a gathering and find obscure relationship in the data. Financial Analysis alludes to the assessment of a business to manage the arranging, budgeting, observing, forecasting, and enhancing of every financial point of interest inside of an association. The task concentrates on comprehension the association's financial health as a major part of reacting to today's inexorably stringent financial reporting prerequisites. It exhibits the capacity of the data mining to robotize the procedure of looking the boundless customer's connected data to discover patterns that are great indicators of the practices of the customer. This will cover the analysis of: Profit arranging, Cash flow analysis, Investment decisions and risk analysis, Dividend Policies and Portfolio Analysis through algorithms like Apriori, Naivebayes, Prediction algorithm and so forth. Along these lines this Data mining arrangement actualizes advanced data analysis techniques utilized by companies for discovering startling patterns extricated from tremendous measures of data, patterns that offer applicable knowledge for
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Programming
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element scripting languages
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total checkouts Total renewals Full call number Barcode Date last seen Date last checked out Price effective from Koha item type
    Dewey Decimal Classification     Symbiosis International University, Dubai Symbiosis International University, Dubai 14/08/2024 1 1 005.54 PAT 2017 SIU00106 25/03/2025 23/01/2025 14/08/2024 Book
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