Results 71 to 80 of about 288,093 (186)
Employment management system for universities based on improved decision tree
With the popularization of higher education, the number of students in colleges and universities is increasing, and how to timely cope with the various problems faced by students in employment has become a major problem faced by teachers in colleges and ...
Li Jing, Ma Yongsheng
doaj +1 more source
1. Presenting a phasor estimation model for 72‐pulse converters of UIPC device based on artificial neural networks. 2. Using the data of a single terminal to estimate for various types of short circuits on both sides of UIPC. 3. No need for a predetermined threshold value to detect the fault side around UIPC. 4.
Babak Bahadori+2 more
wiley +1 more source
Decision tree modeling with relational views [PDF]
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to apply various mining algorithms efficiently on large databases. However, a serious problem in their practical application is the long processing time of such algorithms. Nowadays,
arxiv
Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm
A comprehensive review of the applications of machine learning in the understanding, discovery, and optimization of polymer materials. Machine learning‐based models can facilitate mechanism exploration, target prediction, high‐throughput screening, and rational and inverse designs.
Chunhui Xie+8 more
wiley +1 more source
Fuzzy Classification to Classify the Income Category Based On Entropy
The classification problem is one of the main issues in data mining because it aims to extract a classifier which can be used to predict the classes of objects whose class table are unknown.
Vaiyapuri Srinivasan+3 more
doaj
Universal guarantees for decision tree induction via a higher-order splitting criterion [PDF]
We propose a simple extension of top-down decision tree learning heuristics such as ID3, C4.5, and CART. Our algorithm achieves provable guarantees for all target functions $f: \{-1,1\}^n \to \{-1,1\}$ with respect to the uniform distribution, circumventing impossibility results showing that existing heuristics fare poorly even for simple target ...
arxiv
Determining the Effective Factors in the Incidence of Gastric Cancer by Using Data Mining Approach
Background and Aim: Gastric cancer is the second leading cause of cancer death in the world. Due to the prevalence of the disease and the high mortality rate of gastric cancer in Iran, the factors affecting the development of this disease should be taken
Seyed Abbas Mahmoodi+2 more
doaj
This paper describes experiments, on two domains, to investigate the effect of averaging over predictions of multiple decision trees, instead of using a single tree. Other authors have pointed out theoretical and commonsense reasons for preferring the multiple tree approach.
arxiv
User-Interactive Machine Learning Model for Identifying Structural Relationships of Code Features [PDF]
Traditional machine learning based intelligent systems assist users by learning patterns in data and making recommendations. However, these systems are limited in that the user has little means of understanding the rationale behind the systems suggestions, communicating their own understanding of patterns, or correcting system behavior. In this project,
arxiv
Usability Evaluation and Classification of mHealth Applications for Type 2 Diabetes Mellitus Using MARS and ID3 Algorithm. [PDF]
Gupta K+5 more
europepmc +1 more source