Abstract: Data mining deals with large voluminous data. Classification of data is an important task in data mining process that extracts models for describing classes and predicts target class for ...

本エントリーはクラシフィケーションツリーメソッド（Classification Tree Method：以下CTMと略す）のメモです。 CTMとは CTMは、ソフトウェアテスト技法のひとつです。組合せテストなどで使用するパラメータと値（＝因子と水準）を木構造でビジュアルに表現する ...

Abstract: This paper presents nonlinear optimal classification trees, an advanced approach developed to enhance the accuracy and interpretability of classification trees. By integrating kernel-based ...

Classification trees, or decision trees, are used in prediction problems where the outcome is categorical. Decision trees form predictions by calculating which class is the most common among the ...

When extremely low-energy processing is required, the choice of data representation makes a tremendous difference. Each representation (e.g., frequency domain, residue coded, and log-scale) embodies a ...

In May 2024, two friends and I analyzed the course descriptions of all Bachelor Degrees at Padua University. Our project had three phases: first, we scraped the data from the University’s websites; ...