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Personal Information  
Name :Yazan Alaya Jameel AL-Khassawneh
Academic Rank :Assistant Professor
Office No :1531
Phone :
Department :Computer Science
Email :ykhassawneh@zu.edu.jo
CV

 
Qualifications
Bachelor : Yarmouk University - Jordan Date :
Master : University Kebangsaan Malaysia Date :
Ph.D. : University Technology Malaysia Date :
Research - Journals
AL-Khassawneh, Y. A., Salim, N., & Jarrah, M. , Improving Triangle-Graph Based Text Summarization using Hybrid Similarity Function, Indian Journal of Science and Technology , 10(8)
02/01/2017
Objective: Extractive Summarization, extracts the most applicable sentences from the main document, while keeping the most vital information in the document. The Graph-based techniques have become very popular for text summarisation. This paper introduces a hybrid graph based technique for single-document extractive summarization. Methods/Statistical Analysis: Prior research that utilised the graph-based approach for extractive summarisation deployed one function for computing the necessary summ

AL-Khassawneh, Y. A., Salim, N., & Obasae, A. I. , Sentence Similarity Techniques for Automatic Text Summarization, Journal of Soft Computing and Decision Support Sys , 3(3), 35-41
06/01/2016
The technology of summarizing documents automatically is increasing rapidly and may give an answer for the information overload quandary. These days, document summarization is assumed an imperative part of information retrieval. With expansive amounts of documents, giving the user a short version of every document incredibly encourages the errand of discovering required documents. Text summarization is a procedure for making a packed form of a particular document that gives the users utilizable

Obasa, A. I., Salim, N., & Al-Khassawneh, Y. A. , A Survey Of Challenges And Resolutions Of Mining QuestionAnswer Pairs From Internet Forum, Jurnal Teknologi , 71(5):103109
11/01/2014
Internet forum is a web community that brings people in different geographical locations together. Members of the forum exchange ideas and expertise and as a result generate huge amount of content on different topics on daily basis. A good percentage of human generated content of Internet forums have been found to be question-answer (QA) pairs. These QA pairs are useful for automating question answering system. Mining these QA pairs has become a hot issue in the research community. Effective min

Obasa, A. I., Salim, N., & Al-Khassawneh, Y. A. , Mining Of Answers From Web Forum: Lexical Versus Non-lexical Approaches., Academic Journal of Science , 3(3) pp 243–251
11/01/2014
Web forum is an online community within which members with common interest exchange ideas. Large amount of content is being generated on a daily basis on variety of topics. Knowledge discovery from this domain is becoming a hot issue in the research community. In this paper, we explore the lexical and non-lexical approaches for mining answers to questions raised in the web forum with the aim of striking a balance between the two. We empirically address the following questions in the paper. Are l

Conferences
“Features Effect On Triangle Graph Approach For Extractive Text Summarization: Hybrid Model
2nd International Congress On Technology - Engineering & Science
Kuala Lumpur, Malaysia
2016.07.28
Currently, with the exponential rising quantity of automated textual data available on the Web, end users require the ability to get information in summary form, while keeping the most vital information in the document. As a result of this, the necessity for the creation of Summarization systems became vital. Summarization systems, collect and focus on the most important ideas of the papers and help the users to find and understand the main ideas of the text faster and in a simpler way from the

“Extractive Text Summarization Using Graph Triangle Counting Approach: Proposed Method
1st International Conference of Trends in Information and Communication
Universiti Teknologi Malaysia, Johor, Malaysia
2014.09.12
Currently, with a growing quantity of automated text data, the necessity for the construction of Summarisation systems turns out to be vital. Summarisation systems confine and condense the mainly vital ideas of the papers and assist the user to find and understand the foremost facts of the text quicker and easier from the dispensation of information. Compelling set of such systems are those that create summaries of extracts. This type of summary, which is called Extractive Summarisation , i

Graph-based Extractive Text Summarization Based on Triangle Counting Approach
The International Conference for Academic Disciplines
Rome - Italy
2014.10.28
Currently, with the exponential rising quantity of automated textual data available on the Web, end users require the ability to get information in summary form, while keeping the most vital information in the document. As a result of this, the necessity for the creation of Summarization systems became vital. Summarization systems, collect and focus on the most important ideas of the papers and help the users to find and understand the main ideas of the text faster and in a simpler way from the

On the Use of Data Mining Techniques in Vehicular ad Hoc Network
The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA12)
the Cairo University, Cairo, Egypt during
2012.12.08
As vehicles become more intelligent, it is predictable that in the near future they will be outfitted with a wireless comparison. This will allow the construction of vehicular networks, commonly referred to as VANETs, as an example of mobile ad hoc networks where cars are the mobile nodes. VANETs (Vehicular Ad hoc Networks) are vastly mobile wireless ad hoc networks and will cooperate an imperative role in public safety communications and commercial applications. Mobilization of these VANETs aim

Triangle Counting Approach for graph-based Association Rules Mining
Fuzzy Systems and Knowledge Discovery (FSKD)
Sichuan, China
2012.05.29
Graph-based Association Rules Mining (ARM) is a research area that represents a transactional database into a graph structure to optimize the search for frequent item sets. Sub-graph search is the process of pruning the search by looking for the best representation of connected nodes in a graph to represent the fully connected graphs. Triangle Counting Approach is one of the sub-graph search approaches to find the most represented graph. This study aims to employ the Triangle Counting Approach f

Mining Question – Answer Pairs from Web Forum : A Survey of Challenges and Resolution
5th Annual Conference International Graduate Conference on Engineering, Science and Humanities
Universiti Teknologi Malaysia, Johor, Malaysia
2014.08.19
Internet forums, which are also known as discussion boards, are popular web applications. Members of the board discuss issues and share ideas to form a community within the board, and as a result generate huge amount of content on different topics on daily basis. Interest in information extraction and knowledge discovery from such sources has been on the increase in the research community. A number of factors are limiting the potentiality of mining knowledge from forums. Lexical chasm or lexical

Mining of Answer from web forum: lexical versus non-lexical approaches
The International Conference for Academic Disciplines
Rome - Italy
2014.10.28
Web forum is an online community within which members with common interest exchange ideas. Large amount of content is being generated on a daily basis on variety of topics. Knowledge discovery from this domain is becoming a hot issue in the research community. In this paper, we explore the lexical and non-lexical approaches for mining answers to questions raised in the web forum with the aim of striking a balance between the two. We empirically address the following questions in the paper. Are l

Experiences