Criticism of the scientific paper: Overview Significance and originality Technical Soundness Related Work Readability

1. Ihr Logo
Ppaper XXX as Example
Criticism of the Scientific Paper: Case
Presented by:
Dr. Hamdan Al-Sabri

2. Your Logo 6-2
Outline
 Overview
 Significance and originality
 Technical Soundness
 Related Work
 Readability
Dr. Hamdan M. Al-Sabri, CCIS-KSU

3. Your Logo 6-3
Overview
 What's the paper all about?
 Web mining.
 What are the key contributions?
 Propose a system to find useful association rules by integrating
Web document analysis into Web usage mining.
 What's the main message?
 Finding useful patterns and rules of users’ behaviors has
become the critical issue for e-commerce.
 .
Dr. Hamdan M. Al-Sabri, CCIS-KSU

4. Your Logo 6-4
Significance and originality
 Are the ideas novel/original?
 Novel, new system to find useful association rules by integrating
Web document analysis into Web usage mining.
 Are the contributions significant?
 Yes, significant for finding useful patterns and rules of users’
behaviors.
Dr. Hamdan M. Al-Sabri, CCIS-KSU

5. Your Logo 6-5
Technical Soundness
 Are the ideas presented technically correct?
 Yes, Introduction, Overview, System Architecture, ….
 Are the proofs accurate?
 No, in paper Table 6 presented some Association Rules
Obtained without any proofs***
 Is the research approach correct?
 Yes, web mining for finding useful patterns .
Dr. Hamdan M. Al-Sabri, CCIS-KSU

6. Your Logo 6-6
Related Work
 Is there a brief survey of related work?
 No.
 Do the authors explain similarities and differences with previous
work?
 No, just (contributions for paper)***.
Dr. Hamdan M. Al-Sabri, CCIS-KSU

7. Your Logo 6-7
Readability
 Is the paper well structured?
 Yes. (Abstract, Introduction, overview, System Architecture,..)
 Does the abstract properly accurately summarize the paper?
 Partly, Did not mention many of the points (System Architecture,
Framework,….)***.
 Do the introduction and conclusion clearly explain the contributions
and the message?
 Yes.
Dr. Hamdan M. Al-Sabri, CCIS-KSU

8. Your Logo 6-8
Readability ….. (Cont.)
 Is the flow of ideas easy to follow?
 Partly, especially in the system architecture**
 Is the paper well written?
 Yes .
 Are all the technical terms and abbreviations explained?
 Yes .
Dr. Hamdan M. Al-Sabri, CCIS-KSU

9. Your Logo 6-9
Readability ….. (Cont.)
 Are there important grammatical errors?
 No.
 Are there a lot of typos?
 No .
Dr. Hamdan M. Al-Sabri, CCIS-KSU

10. Your Logo 6-10
Weakness points
 In addition to pre-answer No
 Retrieving web pages (this work, the following types of files are
retrieved as resource of document clustering: .htm, .html, .shtml,
.xml, .php, .cgi, .txt, .pdf, .doc.)
 Did not explain the learning association rules.
Dr. Hamdan M. Al-Sabri, CCIS-KSU

11. Your Logo 6-11
Strength points
 In addition to pre-answer Yes
 They applied a generalized suffix tree (GST) (used to facilitate
finding the all frequent word sequences)
 They applied Producing overlap matrix (O) (two clusters with the
highest overlap value (Oij) are combined into one cluster )
 They applied an evaluation function and some external quality
measures for find optimal number of user clusters.
Dr. Hamdan M. Al-Sabri, CCIS-KSU

12. Your Logo 6-12
Development opportunities
 First Development opportunities:
 In this work, the main hypothesis is that Web page contents can
be used to increase in quality of Web usage mining results.
 We can be improve this work by using statistic :
 Experiments have been conducted on an IIS server log access
file from the Web server of a software provider company.
 Tow samples: Tests on Two means
 H0:µ1-µ2=d VS H1:µ1=µ2
Dr. Hamdan M. Al-Sabri, CCIS-KSU

13. Your Logo 6-13
Development opportunities…
 Second Development opportunities:
 Inductive Learning
 RULES-3 Algorithm for learning association rules.
Dr. Hamdan M. Al-Sabri, CCIS-KSU

14. Your Logo 6-14
Thank You!
Dr. Hamdan M. Al-Sabri, CCIS-KSU