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Improving Customer Value Index and Consumption Forecasts Using a Weighted RFM Model and Machine Learning Algorithms
Collecting and mining customer consumption data are crucial to assess customer value and predict customer consumption behaviors. This paper proposes a new procedure, based on an improved Random Forest Model by: adding a new...
Published by: IGI Global
A High Capacity Test Disguise Method Combined With Interpolation Backup and Double Authentications
To improve the hidden capacity of a single question, further avoid the absence of authentication and provide self-repair ability, this paper proposes a high capacity test disguise method combined with interpolation backup and...
Published by: IGI Global
Digital Divide or Digital Welfare?
With the widespread use of the internet, exploring how it will influence the labor market is of great significance. Based on the 2010-2018 China Family Panel Studies dataset, this paper investigates the effect of the internet on...
Published by: IGI Global
Joint Model-Based Attention for Spoken Language Understanding Task
Intent determination (ID) and slot filling (SF) are two critical steps in the spoken language understanding (SLU) task. Conventionally, most previous work has been done for each subtask respectively. To exploit the dependencies...
Published by: IGI Global
Overcoming the Challenges of Enterprise Resource Planning (ERP)
The study presents the results of a comprehensive review conducted between 2005-2020 to identify Enterprise Resource Planning (ERP) challenges, discover the divisions in which these challenges can be clustered, and provide...
Published by: IGI Global
Online Learning Behavior Feature Mining Method Based on Decision Tree
This research mainly discusses the design of online learning behavior feature mining method based on decision tree. Data collection is the real-time collection of online learning behavior data from distance learning websites....
Published by: IGI Global
Review of Research on Vision-Based Parking Space Detection Method
Parking space detection is an important part of the automatic parking assistance system. How to use existing sensors to accurately and effectively detect parking spaces is the key problem that has not been solved in the...
Published by: IGI Global
E-Government and Foreign Direct Investment
Along with the rapid development of digital information technology, e-government is of great potential because it is a new form of conducting public administration and a way of demonstrating governmental innovation. The...
Published by: IGI Global
Asymmetric parameter enhancement in the split-ring cavity array for virus-like particle sensing.
Xiao Jin, Lu Xue, Shengwei Ye, Weiqing Cheng, Jamie Jiangmin Hou, Lianping Hou, John H Marsh, Ming Sun, Xuefeng Liu, Jichuan Xiong, Bin Ni
Apr 17, 2023
Quantitative detection of virus-like particles under a low concentration is of vital importance for early infection diagnosis and water pollution analysis. In this paper, a novel virus detection method is proposed using indirect...
The CAMELS Project
Abstract
The Cosmology and Astrophysics with Machine Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological...
Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lucia A Perez, Pablo Villanueva-Domingo, Digvijay Wadekar, Helen Shao, Faizan G Mohammad, Sultan Hassan, Emily Moser, Erwin T Lau, Luis Fernando Machado Poletti Valle, Andrina Nicola, Leander Thiele, Yongseok Jo, Oliver HE Philcox, Benjamin D Oppenheimer, Megan Tillman, ChangHoon Hahn, Neerav Kaushal, Alice Pisani, Matthew Gebhardt, Ana Maria Delgado, Joyce Caliendo, Christina Kreisch, Kaze WK Wong, William R Coulton, Michael Eickenberg, Gabriele Parimbelli, Yueying Ni, Ulrich P Steinwandel, Valentina La Torre, Romeel Dave, Nicholas Battaglia, Daisuke Nagai, David N Spergel, Lars Hernquist, Blakesley Burkhart, Desika Narayanan, Benjamin Wandelt, Rachel S Somerville, Greg L Bryan, Matteo Viel, Yin Li, Vid Irsic, Katarina Kraljic, Federico Marinacci, Mark Vogelsberger
Apr 06, 2023