یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references.
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
This edited volume on data science features a variety of research ranging from theoretical to applied and computational topics. Aiming to establish the important connection between mathematics and data science, this book addresses cutting edge problems in predictive modeling, multi-scale representation and feature selection, statistical and topological learning, and related areas. Contributions study topics such as the hubness phenomenon in high-dimensional spaces, the use of a heuristic framework for testing the multi-manifold hypothesis for high-dimensional data, the investigation of interdisciplinary approaches to multi-dimensional obstructive sleep apnea patient data, and the inference of a dyadic measure and its simplicial geometry from binary feature data. Based on the first Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place in 2017 at the Institute for Compuational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, this volume features submissions from several of the working groups as well as contributions from the wider community. The volume is suitable for researchers in data science in industry and academia
موضوع (اسم عام یاعبارت اسمی عام)
عنصر شناسه ای
Computer science
عنصر شناسه ای
Quantitative research
تقسیم فرعی شکلی
-- Congresses
تقسیم فرعی موضوعی
-- Mathematics
داده رابط بین فیلدها
a04
داده رابط بین فیلدها
a05
رده بندی کنگره
شماره رده
QA76
.
9
نشانه اثر
.
M35
2019
نام شخص - ( مسئولیت معنوی درجه دوم )
مستند نام اشخاص تاييد نشده
Gasparovic, Ellen, 1984- ., editor.
مستند نام اشخاص تاييد نشده
Domeniconi, Carlotta, editor.
مبدا اصلی
کشور
ایران
سازمان
University of Tehran. Library of College of Science