35986841_10216840653711318_1105697261150535680_n

Conversational Expert System // GP // Dr. Hesham Mansour (2018 - 2019) (Record no. 25097)

MARC details
000 -LEADER
fixed length control field 02234nam a22002177a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190901074110.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190827b ||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency MSA
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Mohamed Lashein 183361
245 ## - TITLE STATEMENT
Title Conversational Expert System // GP // Dr. Hesham Mansour (2018 - 2019)
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. GIZA
Name of publisher, distributor, etc. MSA
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 62 P.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title COMPUTER SCIENCES DISTINGUISHED PROJECTS 2019
500 ## - GENERAL NOTE
General note Computer Science
520 ## - SUMMARY, ETC.
Summary, etc. Expert Systems, a computer program that uses artificial intelligence techniques to solve<br/>problems within a specialized field that usually requires human experience. Expert systems<br/>rely on two components: the knowledge base and the inference engine. Knowledge Base is an<br/>organized set of facts about the scope of the system. The inference engine interprets and<br/>evaluates the facts in the knowledge base in order to provide an answer. Typical functions of<br/>expert systems include classification, diagnostics, monitoring, design, scheduling and<br/>planning of specialized endeavors. A knowledge base for a system contains thousands of<br/>rules. Probability is often attached to each output or output from the system, because the<br/>conclusion is not certain. For example, a system for the diagnosis of eye diseases, based on<br/>the information provided to it, may indicate a 90% probability that a person has a blueness<br/>and may also include conclusions with lower probability. An expert system may also show the<br/>sequence of rules through which it has come to an end; tracking this flow helps the evaluator<br/>evaluate the credibility of conclusions and recommendations and also serves as a learning tool<br/>for students.<br/><br/>Human experts often use heuristic rules, or "thumb rules", as well as simple production rules,<br/>such as rules derived from geometric books. Thus, the credit manager of a particular<br/>insurance company may know that an applicant with a bad credit record, but who has a clean<br/>record since acquiring a new job, may actually have a good credit risk.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Conversational Expert
Form subdivision Computer Science
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/drive/folders/169ETcT6Z6-gz3h5WQbZ_Wztw_Dd4BO1l">https://drive.google.com/drive/folders/169ETcT6Z6-gz3h5WQbZ_Wztw_Dd4BO1l</a>
Public note FULL TEXT HERE
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Distinguished Graduation Projects
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Centeral Library Centeral Library Soft Copy located on library Cataloge 27.08.2019   GP295CS2019 82121 27.08.2019 27.08.2019 Distinguished Graduation Projects