Author : Wsdm 13 Conference Committee
Publisher :
Page : 818 pages
File Size : 18,9 MB
Release : 2013-07
Category : Computers
ISBN : 9781450320887
Author :
Publisher :
Page : pages
File Size : 13,54 MB
Release : 2020
Category : Data mining
ISBN :
Author : Stefano Leonardi
Publisher :
Page : 798 pages
File Size : 34,5 MB
Release : 2013
Category : Computer science
ISBN : 9781450318693
Author : Liane Lewin-Eytan
Publisher :
Page : 1192 pages
File Size : 49,12 MB
Release : 2021
Category :
ISBN : 9781450382977
Author : Matthew J. Salganik
Publisher : Princeton University Press
Page : 448 pages
File Size : 23,10 MB
Release : 2019-08-06
Category : Computers
ISBN : 0691196109
This essential guide to doing social research in this fast-evolving digital age explains how the digital revolution is transforming the way social scientists observe behavior, ask questions, run experiments, and engage in mass collaborations.
Author : Sergey Kovalev
Publisher : Springer Nature
Page : 533 pages
File Size : 31,98 MB
Release : 2022-10-30
Category : Technology & Engineering
ISBN : 3031196201
This book contains the works connected with the key advances in Intelligent Information Technologies for Industry presented in the main track of IITI 2022, the Sixth International Scientific Conference on Intelligent Information Technologies for Industry held on October 31 - November 6, 2022, in Istanbul, Turkey. The works were written by the experts in the field of artificial intelligence including topics such as machine learning, decision making intelligent systems, fuzzy logic, bioinspired systems and Bayesian networks. The following industrial application domains were touched: railway automation, intelligent medical systems, flexible socio-technical systems, navigation systems and energetic systems. The editors believe that this book will be helpful for all scientists and engineers interested in the modern state of applied artificial intelligence.
Author : Vincent S. Tseng
Publisher : Springer
Page : 651 pages
File Size : 29,38 MB
Release : 2014-05-08
Category : Computers
ISBN : 3319066056
The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.
Author :
Publisher :
Page : pages
File Size : 23,21 MB
Release : 2017
Category : Data mining
ISBN :
Author : Chandan K. Reddy
Publisher : CRC Press
Page : 756 pages
File Size : 22,69 MB
Release : 2015-06-23
Category : Business & Economics
ISBN : 148223212X
At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available
Author : Ron Kohavi
Publisher : Cambridge University Press
Page : 291 pages
File Size : 42,3 MB
Release : 2020-04-02
Category : Computers
ISBN : 1108590098
Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests. Based on practical experiences at companies that each run more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for practitioners who want to improve the way they make data-driven decisions. Learn how to • Use the scientific method to evaluate hypotheses using controlled experiments • Define key metrics and ideally an Overall Evaluation Criterion • Test for trustworthiness of the results and alert experimenters to violated assumptions • Build a scalable platform that lowers the marginal cost of experiments close to zero • Avoid pitfalls like carryover effects and Twyman's law • Understand how statistical issues play out in practice.
