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Health and income : theory and evidence for OECD countries

Bucci, Alberto; Carbonari, Lorenzo; Trovato, Giovanni - In: Human capital and economic growth : the impact of …, (pp. 169-207). 2019

Persistent link: https://www.econbiz.de/10012156103

Using Data Mining Techniques to Discover Patterns in an Airline's Flight Hours Assignments

Martín, Francisco Javier Villar; Sequera, Jose Luis … - In: International Journal of Data Warehousing and Mining (IJDWM) 13 (2017) 2, pp. 45-62

data analysis and predictive modeling of information systems. Firstly, they apply clustering to study the information …

Persistent link: https://www.econbiz.de/10012044227

Augmenting Classifiers Performance through Clustering: A Comparative Study on Road Accident Data

Kumar, Sachin; Tiwari, Prayag; Denis, Kalitin Vladimirovich - In: International Journal of Information Retrieval Research … 8 (2018) 1, pp. 57-68

-world data as road accidents are uncertain. In this article, the authors are comparing three different clustering techniques …: latent class clustering (LCC), k-modes clustering and BIRCH clustering, on road accident data from an Indian district …

Persistent link: https://www.econbiz.de/10012045568

An Improved Web Page Recommendation Technique for Better Surfing Experience

Wagh, Rajnikant Bhagwan; Patil, Jayantrao Bhaurao - In: International Journal of Knowledge-Based Organizations … 8 (2018) 4, pp. 1-13

. Authors classify active users more accurately to found clusters. Threshold values are used in both clustering and …

Persistent link: https://www.econbiz.de/10012046188

Educational Data Mining and Recommender Systems Survey

Premalatha, M.; Viswanathan, V.; Suganya, G.; Kaviya, M.; … - In: International Journal of Web Portals (IJWP) 10 (2018) 1, pp. 39-53

Data mining techniques are widely used for various educational researches. This article depicts the survey of various data mining techniques and tools which are used to guide students, course instructors, course developers, course administrators and organizations in respective fields based on...

Persistent link: https://www.econbiz.de/10012048718

A machine learning-based price state prediction model for agricultural commodities using external factors

Oktoviany, Prilly; Knobloch, Robert; Korn, Ralf - In: Decisions in Economics and Finance 44 (2021) 2, pp. 1063-1085

-step hybrid model based on machine learning methods for clustering and classification. First, we assign price states to historical … prices using K-means clustering. These price states are also assigned to the corresponding data of external factors. Second …

Persistent link: https://www.econbiz.de/10014497500

Thai stock news classification based on price changes and sentiments

Ponrudee Netisopakul; Woranun Saewong - In: International journal of electronic finance : IJEF 11 (2022) 1, pp. 49-66

Persistent link: https://www.econbiz.de/10012939852

Variable selection for Naïve Bayes classification

Blanquero, Rafael; Carrizosa, Emilio; Ramírez-Cobo, Pepa; … - In: Computers & operations research : and their … 135 (2021), pp. 1-11

Persistent link: https://www.econbiz.de/10012649735

Classification with segmentation for credit scoring and bankruptcy prediction

Boughaci, Dalila; Alkhawaldeh, Abdullah A. K.; Jaber, … - In: Empirical economics : a quarterly journal of the … 61 (2021) 3, pp. 1281-1309

Persistent link: https://www.econbiz.de/10012616950

A machine learning-based price state prediction model for agricultural commodities using external factors

Oktoviany, Prilly; Knobloch, Robert; Korn, Ralf - In: Decisions in economics and finance : a journal of … 44 (2021) 2, pp. 1063-1085

Persistent link: https://www.econbiz.de/10012795112