2023 N. Cleveland St.
Arlington, VA 22201
United States
http://theinterdisciplinarian.com/
Independent
SSRN RANKINGS
in Total Papers Downloads
in Total Papers Citations
data science, predictive modeling, successful factors with optimal models, predictive model success, survey of modelers, crowdsourcing, modeler performance
logistic regression, credit scoring, random forest, econometrics, statistics, predictive models, variable selection
optimal credit scoring, random forests, logistic regression, mortgage, credit risk,credit cards, KDD
logistic regression, random forest, interaction mining, variable selection, automated model building,ensemble performance regression
corporate credit scoring, optimal credit scoring, Altman Z-score, bankruptcy prediction, variable selection, combining credit scores, interaction effects, random forest, logistic regression, empirical vs. structural models
learning organization, high performance organization, strategy
kdd, random forest, logistic, naive bayes, discretization, binning, I*, logistic regression, donation response, bias, variable importance, enhancing random forest, WOE, empirical bayes
asset allocation, investment, system, risk/reward, simulation, volatility pumping, optimization, monte carlo simulation
naive bayes, random forest, interactions, transformations, classification, I*, logistic regression
interaction mining, simulation synthetic data sets, logistic regression vs. random forest, exponential probability distributions, I*, interaction miner, variable selection
organizational development, social network Analysis, survey analysis, executive coaching, social capital, cultural and economic capital, knowledge work
Random Forests, Evolutionary Ecentralized Intelligence, Sense-Making, Rule Sets
strategic human resources, appraisal, 360 degree, feedback
collaborative filtering, Netflix, recommender systems, matrix facorization, regression, movie rating prediction, query theory, preferences, affect optimization, movies, films, data science
random forest, interaction effects, logistic regression
random forest, variable importance, interaction effects, logistic regression, interaction effects, predictive modeling, biases
audience effect, Audience theory, human communication, family and individual experience, therapy
improving credit scoring, logistic regression, random forests, credit risk, systemic risk, safe mortgage products
transformations, interaction terms, recursive partitioning, conditional inference trees, random forests
behavioral finance, poverty, log optimal portfolios, public policy, innovation, wealth creation
fair lending, boston HMDA, discrimination, mortgage lending, disparate impact
complexity, random forests, swarm intelligence, random forest as intelligent system similar to swarm intelligence
Market for Lemons, Akerlof, Emma Brown, Newspaper Business Models, Innovations, Journalism
risk management, expert systems, testing and validation, context based meta rules, pareto optimal risk trade-offs, credit risk underwriting
economic utility theory, maximization, optimization, constrained utility maximization, economics, complexity theory, sustainable economic growth, stable markets, random forest, lasso, fast frugal, bounded rationality, complexity, interdisciplinary, constrained optimization
Lacan, Change, Organizational Development
open source, social capital, education, welfare, health care
difficult people and situations, learning, growth, organizational development, self-help, business books, reframing
Internet Search, Google, Zen