Konstantinos Ch. Chatzisavvas

Statistical Learning Theory · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 5 citations into it

Whom Konstantinos Ch. Chatzisavvas trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Nitesh V. Chawla

Papers from Konstantinos Ch. Chatzisavvas's perspective

Ordered by how strongly the researchers Konstantinos Ch. Chatzisavvas trusts endorse each paper. Same corpus, a different order for every researcher.

1. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
2. A training algorithm for optimal margin classifiers
3. An introduction to ROC analysis
4. A Brief Introduction to Boosting
5. Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (IEEE Trans. Neural Networks Learn. Syst.)
6. Boosting: Foundations and Algorithms
7. Bagging and Boosting Classification Trees to Predict Churn
8. A novel evolutionary data mining algorithm with applications to churn prediction (IEEE Transactions on Evolutionary Computation)
9. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
10. Turning telecommunications call details to churn prediction: a data mining approach (Expert systems with applications)

Their papers

• A comparison of machine learning techniques for customer churn prediction (2015) — 420 citations