ISDSA

The International Society for Data Science and Analytics (ISDSA) is an association for anyone who are interested in data science and data analytics. The mission of ISDSA is to promote data science and data literacy. ISDSA is an exempt organization under section 501(c)(3) of the Internal Revenue Code. To support ISDSA, make a tax deductible contribution today.

The first issue of the Journal of Behavioral Data Science is available for download. This issue includes the following articles.

Zhiyong Zhang and Danyang Zhang (2021). What is Data Science? An Operational Definition based on Text Mining of Data Science Curricula, 1(1), 1-16.
B. G. Manjunath and Stefan Wilhelm (2021). Moments Calculation for the Doubly Truncated Multivariate Normal Density, 1(1), 17-33.
Haiyan Liu and Zhiyong Zhang (2021). Birds of a Feather Flock Together and Opposites Attract: The Nonlinear Relationship Between Personality and Friendship, 1(1), 34-52.
Xing Tong (2021). Semiparametric Bayesian Methods in Growth Curve Modeling for Nonnormal Data Analysis, 1(1), 53-84.
Alexander P. Christensen and Hudson Golino (2021). Factor or Network Model? Predictions From Neural Networks, 1(1), 85-126.
Danielle M. Rodgers, Ross Jacobucci and Kevin J. Grimm (2021). A Multiple Imputation Approach for Handling Missing Data in Classification and Regression Trees, 1(1), 127-153.
Rohan Sukumaran, Parth Patwa, Sethuraman T V, Sheshank Shankar, Rishank Kanaparti , Joseph Bae, Yash Mathur , Abhishek Singh, Ayush Chopra , Myungsun Kang, Priya Ramaswamy and Ramesh Raskar (2021). COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms, 1(1), 154-169.
Kévin Allan Sales Rodrigues (2021). Book Review: Mastering Software Development in R, 1(1), 170-172.

Contact us

Telephone: 1-574-400-5868
Email: contact@isdsa.org
Mail: P.O.Box 1471, ISDSA, Granger, IN 46530