Voltage insecurity is a most vital problem that the modern power systems are imposed off. Timely and accurate assessment of voltage security is necessary to detect post-contingency voltage problems in order to prevent a large scale blackout. The paper presents machine learning techniques based on CART algorithm and probabilistic decision tree based strategy for estimation of voltage security. T...

Abstract Wart is a disease caused by human papillomavirus with common and plantar warts as general forms. Commonly used methods to treat are immunotherapy cryotherapy. The selection of proper treatment vital cure warts. This paper establishes classification regression tree (CART) model based on particle swarm optimisation help patients choose between proposed can accurately predict the response...

In the era of information technology, work relies on technology to generate a huge amount data and information. Among them, financial universities is growing exponentially, manual method organizing extracting key can no longer meet requirements management universities. Taking higher education institutions as an example, it difficult grasp progress budget execution with frequent complicated dail...

BACKGROUND A multitude of biomarkers have been suggested for early risk-assessment in patients admitted to the emergency department with suspected acute coronary syndromes. We used logistic regression synergistically with classification and regression tree (CART) analysis to define a multimarker strategy and the cut-off values and sequencing needed to optimize risk stratification in a low to mo...

Treemodels are valuable tools for predictivemodeling and datamining. Traditional tree-growingmethodologies such as CART are known to suffer from problems including greediness, instability, and bias in split rule selection. Alternative tree methods, including Bayesian CART (Chipman et al., 1998; Denison et al., 1998), random forests (Breiman, 2001a), bootstrap bumping (Tibshirani and Knight, 199...

The objective of this study was to develop information mining methodology for drought modeling and predictions using historical records of climate, satellite, environmental, and oceanic data. The classification and regression tree (CART) approach was used for extracting drought episodes at different time-lag prediction intervals. Using the CART approach, a number of successful model trees were ...

Landslide hazards have attracted increasing public attention over the past decades due to a series of catastrophic consequences landslide occurrence. Thus, mitigation and prevention been topical issues. Thereinto, numerous research achievements on susceptibility assessment springing up in recent years. In this paper, four benchmark models including best-first decision tree (BFTree), functional ...

Despite the large overall beneficial effects of endovascular treatment in patients with acute ischemic stroke, severe disability or death still occurs almost one-third patients. These patients, who might not benefit from treatment, have been previously identified traditional logistic regression models, which may oversimplify relations between characteristics and outcome, machine learning techni...