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Jamal Alsakran - IEEE Xplore Author Profile
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Jamal Alsakran

Publications
12
Citations
110
Publications by Year
20082024
Co-Authors:
Show All Co-Authors (23)
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Jamal Alsakran

Affiliation

Fairleigh Dickinson University, Canada

Publication Topics

Biography

Jamal Alsakran is a PhD candidate in Kent State Univer-sity's Department of Computer Science. His research focuses on multidimensional and text visualization, and visual ana-lytics. Alsakran has an MS in computer science from the University of jordan. Contact him at jalsakra@cs.kent.edu.(Based on document published on 18 October 2011).
Publications
12
Citations
110
Publications by Year
20082024
Co-Authors:
Show All Co-Authors (23)
Author's Published Works

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A Data-Driven Approach Towards Software Regression Testing Quality Optimization

Abdallah Moubayed;Nouh Alhindawi;Jamal Alsakran;MohammadNoor Injadat;Mohammad Kanan

2024 25th International Arab Conference on Information Technology (ACIT)
Year: 2024 | Conference Paper |
Software testing is very important in software development to ensure its quality and reliability. As software systems have become more complex, the number of test cases has increased, which presents the challenge of executing all the tests in a limited time frame. Various test case prioritization techniques have been introduced to solve this problem. These methods aim to identify and implement the...Show More

A Data-Driven Approach Towards Software Regression Testing Quality Optimization

Abdallah Moubayed;Nouh Alhindawi;Jamal Alsakran;MohammadNoor Injadat;Mohammad Kanan

Year: 2024 | Conference Paper |

Visual Analysis of COVID-19 Trends

Jamal Alsakran;Loai Alnemer

2020 Seventh International Conference on Information Technology Trends (ITT)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
The declaration of COVID-19 as a pandemic has urged health and government authorities to investigate and control the outbreak. Among the various techniques that support the decision making, visualization represents a powerful tool to provide insightful information into every facet of the pandemic. In this effort, we provide a visual analytic tool that facilitates the investigation of COVID-19 data...Show More

Visual Analysis of COVID-19 Trends

Jamal Alsakran;Loai Alnemer

Year: 2020 | Conference Paper |

Churn Prediction: A Comparative Study Using KNN and Decision Trees

Mohammad A. Hassonah;Ali Rodan;Abdel-Karim Al-Tamimi;Jamal Alsakran

2019 Sixth HCT Information Technology Trends (ITT)
Year: 2019 | Conference Paper |
Cited by: Papers (10)
Churn prediction represents one of the most important components of Customer Relationship Management (CRM). In the purpose of retaining customers and maintaining their satisfaction, researchers of many fields including business intelligence, marketing and information technology were motivated to investigate the best methods that deliver the best services for customers. Many machine learning algori...Show More

Churn Prediction: A Comparative Study Using KNN and Decision Trees

Mohammad A. Hassonah;Ali Rodan;Abdel-Karim Al-Tamimi;Jamal Alsakran

Year: 2019 | Conference Paper |

Predicting Survivability in Leukemia Patients using Deep Learning

Nazek Hassouneh;Loai Alnemer;Jamal Alsakran;Ali Rodan

2019 Sixth HCT Information Technology Trends (ITT)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
Leukemia is the most commonly diagnosed type of cancer in children in the United States. The prediction of its survivability is of great importance for patients as it gives them hope and improves their psychological health. Additionally, it is crucial for physicians in prescribing the proper arrangement of treatment. This research aims to predict the survivability of Leukemia patients using Deep N...Show More

Predicting Survivability in Leukemia Patients using Deep Learning

Nazek Hassouneh;Loai Alnemer;Jamal Alsakran;Ali Rodan

Year: 2019 | Conference Paper |

Parallel coordinates metrics for classification visualization

Jamal Alsakran;Nouh Alhindawi;Loai Alnemer

2016 7th International Conference on Information and Communication Systems (ICICS)
Year: 2016 | Conference Paper |
Cited by: Papers (4)
The high dimensionality of data presents a major issue in understanding and interpreting the results of classification learning. Among the various approaches that address this issue, parallel coordinates visualization has proven its capabilities to enhance investigation and comprehension of data dimension features especially when the number of dimensions is high and there are numerous output class...Show More

Parallel coordinates metrics for classification visualization

Jamal Alsakran;Nouh Alhindawi;Loai Alnemer

Year: 2016 | Conference Paper |

Using Entropy-Related Measures in Categorical Data Visualization

Jamal Alsakran;Xiaoke Huang;Ye Zhao;Jing Yang;Karl Fast

2014 IEEE Pacific Visualization Symposium
Year: 2014 | Conference Paper |
Cited by: Papers (7)
A wide variety of real-world applications generate massive high dimensional categorical datasets. These datasets contain categorical variables whose values comprise a set of discrete categories. Visually exploring these datasets for insights is of great interest and importance. However, their discrete nature often confounds the direct application of existing multidimensional visualization techniqu...Show More

Using Entropy-Related Measures in Categorical Data Visualization

Jamal Alsakran;Xiaoke Huang;Ye Zhao;Jing Yang;Karl Fast

Year: 2014 | Conference Paper |

A visual analytics approach to exploring protein flexibility subspaces

Scott Barlowe;Jing Yang;Donald J. Jacobs;Dennis R. Livesay;Jamal Alsakran;Ye Zhao;Deeptak Verma;James Mottonen

2013 IEEE Pacific Visualization Symposium (PacificVis)
Year: 2013 | Conference Paper |
Cited by: Papers (4)
Understanding what causes proteins to change shape and how the resulting shape influences function will expedite the design of more narrowly focused drugs and therapies. Shape alterations are often the result of flexibility changes in a set of localized neighborhoods that may or may not act in concert. Computational models have been developed to predict flexibility changes under varying empirical ...Show More

A visual analytics approach to exploring protein flexibility subspaces

Scott Barlowe;Jing Yang;Donald J. Jacobs;Dennis R. Livesay;Jamal Alsakran;Ye Zhao;Deeptak Verma;James Mottonen

Year: 2013 | Conference Paper |

Real-Time Visualization of Streaming Text with a Force-Based Dynamic System

Jamal Alsakran;Yang Chen;Dongning Luo;Ye Zhao;Jing Yang;Wenwen Dou;Shixia Liu

IEEE Computer Graphics and Applications
Year: 2012 | Volume: 32, Issue: 1 | Magazine Article |
Cited by: Papers (20)
Streamit lets users explore visualizations of text streams without prior knowledge of the data. It incorporates incoming documents from a continuous source into an existing visualization context with automatic grouping and separation based on document similarities. Streamit generates document clusters to promote better understanding. To obtain different clusterings, users can adjust the keyword im...Show More

Real-Time Visualization of Streaming Text with a Force-Based Dynamic System

Jamal Alsakran;Yang Chen;Dongning Luo;Ye Zhao;Jing Yang;Wenwen Dou;Shixia Liu

Year: 2012 | Volume: 32, Issue: 1 | Magazine Article |

Supporting effective common ground construction in Asynchronous Collaborative Visual Analytics

Yang Chen;Jamal Alsakran;Scott Barlowe;Jing Yang;Ye Zhao

2011 IEEE Conference on Visual Analytics Science and Technology (VAST)
Year: 2011 | Conference Paper |
Asynchronous Collaborative Visual Analytics (ACVA) leverages group sensemaking by releasing the constraints on when, where, and who works collaboratively. A significant task to be addressed before ACVA can reach its full potential is effective common ground construction, namely the process in which users evaluate insights from individual work to develop a shared understanding of insights and colle...Show More

Supporting effective common ground construction in Asynchronous Collaborative Visual Analytics

Yang Chen;Jamal Alsakran;Scott Barlowe;Jing Yang;Ye Zhao

Year: 2011 | Conference Paper |

STREAMIT: Dynamic visualization and interactive exploration of text streams

Jamal Alsakran;Yang Chen;Ye Zhao;Jing Yang;Dongning Luo

2011 IEEE Pacific Visualization Symposium
Year: 2011 | Conference Paper |
Cited by: Papers (41)
Text streams demand an effective, interactive, and on-the-fly method to explore the dynamic and massive data sets, and meanwhile extract valuable information for visual analysis. In this paper, we propose such an interactive visualization system that enables users to explore streaming-in text documents without prior knowledge of the data. The system can constantly incorporate incoming documents fr...Show More

STREAMIT: Dynamic visualization and interactive exploration of text streams

Jamal Alsakran;Yang Chen;Ye Zhao;Jing Yang;Dongning Luo

Year: 2011 | Conference Paper |

Visual Analysis of Mutual Fund Performance

Jamal Alsakran;Ye Zhao;Xinlei Zhao

2009 13th International Conference Information Visualisation
Year: 2009 | Conference Paper |
Cited by: Papers (7)
Mutual funds are probably the most important investment instruments for investors. Their performance is mainly affected by their characteristics, such as asset size, turnover and fee structure. It is thus of the investors' highest priorities to understand the relation between fund performance and these properties. Typically, financial researchers use the linear regression technique to statisticall...Show More

Visual Analysis of Mutual Fund Performance

Jamal Alsakran;Ye Zhao;Xinlei Zhao

Year: 2009 | Conference Paper |

Visual analysis for mutual fund performance

Ye Zhao;Jamal Alsakran;Xinlei Zhao

2008 IEEE Symposium on Visual Analytics Science and Technology
Year: 2008 | Conference Paper |
Mutual funds are one of the most important investment instruments available. However, choosing among mutual funds is not an easy task because they vary in many different dimensions, such as asset size, turnover and fee structure, and these characteristics may affect fund returns. It is thus important to understand the relation between fund performance and these properties. In this work, we use a n...Show More

Visual analysis for mutual fund performance

Ye Zhao;Jamal Alsakran;Xinlei Zhao

Year: 2008 | Conference Paper |

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