Dr. Inbal Yahav Shenberger

מנהלת ביה"ס למנהל עסקים סגל אקדמי בכיר

General Information

Dr. Inbal Yahav has a Bachelor in Computer Science and a Master in Information Systems from the Israel Institute of Technology (Technion). Eight years of work at Bar Ilan University. She received her Ph.D. in Optimization and Data Mining from the University of Maryland in 2010, where she continued to work as a visiting faculty member for two years. Dr. Yahav has joined The Coller School of Management in 2019 as a senior lecturer, after eight years working at the Bar Ilan University.

Most of her work focuses on the development and adaptation of statistical models for use by researchers in the information systems. In her research, Dr. Yahav incorporates data mining algorithms, text mining, and optimization models to produce complex statistical models, with high predictability. She applies these methods mainly to public health applications and cybersecurity..

Research Areas

Data Science; Text Analytics; Public Health; Cyber

Selected Publications

(Partial list)
 

 

Yahav I., Schwartz D., and Welcman Y. (2019). The Journey to Engaged Customer Community: Evidential Social CRM Maturity Model in Twitter. Applied Stochastic Models in Business and Industry. In press. 
 

 

Geva T., and Yahav I. (2019). Data-Driven Link Screening for Increasing Network Predictability. IEEE Transactions on Knowledge and Data Engineering. In press.
 

 

Yahav, I., Shehory, O., & Schwartz, D. (2018). Comments Mining With TF-IDF: The Inherent Bias and Its Removal. IEEE Transactions on Knowledge and Data Engineering. Doi: 10.1109/TKDE.2018.2840127

 

 
Yahav I, & Schwartz D. (2018) Citizen engagement and the illusion of secrecy: exploring commenter characteristics in censored online news articles, Information, Communication & Society, 21(11), 1620-1638
 

 

Cascavilla, G., Conti, M., Schwartz, D. G., & Yahav, I. (2018). The insider on the outside: a novel system for the detection of information leakers in social networks. European Journal of Information Systems, 27(4), 470-582.
 

 

Shmueli, G., & Yahav, I. (2018). The Forest or the Trees? Tackling Simpson's Paradox with Classification Trees. Production and Operations Management, 27(4), 696-716.
 

 

Yahav I., Shmueli G., Mani D. (2016).  A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Big Data. MIS Quarterly. 40(4), pp. 819-848.
 
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