College Of Computing & Information Technology  Smart Village

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Information Retrieval

  • College Of Computing & Information Technology |

Description

- Identify basic IR models.
- Understand basic tokenizing, indexing, and implementation of Vector-Space RetrievalApply experimental evaluation of IR.
- Differentiate categorization algorithms SVM, Rocchio, nearest neighbor and naive Bayes.
- Learn clustering algorithms agglomerative clustering k-means.
- Learn Information retrieval concepts in World Wide Web domain.

Program

Computer Science bachelor`s degree Program

Objectives

  • -

Textbook

Data will be available soon!

Course Content

content serial Description
1Introduction
2What is Information Retrieval
3Building Dictionary
4TF-IDF
5TF-IDF-2
6Vector Space
7Naive Bayes
8Naive Bayes-Text Classification
9KNN-Text Classification
10Rocchio-Text Classification
11SVM-Text Classification
12Support Vector Machine
13Link Analysis
14Crawling
15Revision

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.
Courses
  • Degree Bachelor
  • Code: CCS4405
  • Credit hrs: 3
  • Prequisites: CCS2401, EBA2204
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