Weather data of Kashmir province has 6 attributes recorded at three different substations.
This paper proposes a distributed decision tree algorithm and its implementation on …

The decision tree is a widely used decision support model, which can quickly mine effective
decision rules based on the dataset. The decision tree induction algorithm for continuous …

Ohne die Unterstützung des Unternehmens wäre diese Arbeit nicht möglich gewesen.
Daher möchte ich mich in Besonderem Maße bei Herrn Dr.-Ing. Wolfgang Schlögl …

Classification in real-time environment on streaming data set is one of the most challenging
research areas nowadays. Data streaming is used in real-time environment where massive …

The main purpose of the current study is to use three traditional and ensemble machine
learning approaches namely Decision tree (DT), Distributed Decision tree (DDT) and …

In today's world the modern generation applications such as social media application, web
based application, big data analytics producing huge amount of data which brings up many …

This paper introduces a novel foundational architecture incorporating two primary
algorithms. The Partially Enhanced Linear Mean Analysis Algorithm for significant …

Prognostics and health management (PHM) is an enabling technology with the potential to
solve complex reliability problems that have manifested due to complexity in design …

The amount of information nowadays is rapidly growing. Aside from valuable information,
information that is unrelated to a target or is meaningless is also growing. Big data and …

Random Forests (RF) of tree classifiers are a state-of-the-art method for classification
purposes. RF show limited hyperparameter sensitivity, have high numerical robustness …