Combination of machine learning algorithms for recommendation of courses in E-Learning System based on historical data
Data mining is the process which is used to analyze the large database to find the useful pattern. Data mining can be used to learn about student's behavior from data collected using the course management system such as Moodle (Modular Object-Oriented ...
Focused crawling enhanced by CBP–SLC
The complexity of Web information environments and multiple-topic Web pages are negative factors significantly affecting the performance of focused crawling. In a Web page, anchors or some link-contexts may misguide focused crawling, and a highly ...
A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm
A significant number of recommender systems utilize the k-nearest neighbor (kNN) algorithm as the collaborative filtering core. This algorithm is simple; it utilizes updated data and facilitates the explanations of recommendations. Its greatest ...
Twitter user profiling based on text and community mining for market analysis
This paper proposes demographic estimation algorithms for profiling Twitter users, based on their tweets and community relationships. Many people post their opinions via social media services such as Twitter. This huge volume of opinions, expressed in ...
Supporting negotiation mechanism privacy authority method in cloud computing
Cloud computing have become a software paradigm, providing services dynamically according to user requirements. However, it is difficult to control personal privacy information because of the opening, virtualization, multi-tenancy and service ...
Outlier detection on uncertain data based on local information
Based on local information: local density and local uncertainty level, a new outlier detection algorithm is designed in this paper to calculate uncertain local outlier factor (ULOF) for each point in an uncertain dataset. In this algorithm, all concepts,...
Feature selection in corporate credit rating prediction
Credit rating assessment is a complicated process in which many parameters describing a company are taken into consideration and a grade is assigned, which represents the reliability of a potential client. Such assessment is expensive, because domain ...
An efficient ensemble pruning algorithm using One-Path and Two-Trips searching approach
Ensemble pruning is substantial for the successful application of an ensemble system. A novel method for Ensemble Pruning via BackTracking algorithm (EnPBT) was proposed by us in our previous work. Backtracking algorithm can systematically search for ...
Relational databases as a massive information source for defeasible argumentation
- Cristhian A. D. Deagustini,
- Santiago E. Fulladoza Dalibón,
- Sebastián Gottifredi,
- Marcelo A. Falappa,
- Carlos I. Chesñevar,
- Guillermo R. Simari
Argumentation provides a sophisticated yet powerful mechanism for the formalization of commonsense reasoning in knowledge-based systems, with application in many areas of Artificial Intelligence. Nowadays, most argumentation systems build their ...
