This paper presents the probabilistic model named Twodimensional Probabilistic Model (2DPM). In this model, terms are seen as disjoin events, and terms and categories are realeated to each other. Since the documents are ...

Association Rules is the process of identifying relationships among set of items in transaction database. Finding frequent itemsets is the most expensive step in Association rule discovery. Real world datasets are ...

The software defect can cause the unnecessary effects on the software such as cost and quality. The prediction of the software defect can be useful for the developing of good quality software. For the prediction, the PROMISE ...

Since the introduction of computer system, decision support has evolved greatly. Originally computer systems produced paper reports. The emerging technologies of data warehousing and OLAP have changed the way that organization ...

Today’s many modern organizations, to get competitive advantages, have been already implemented business process management (BPM). However, as part of a larger business process management initiative, especially predictive ...

Anomaly detection studies the normal behavior of the monitored system and then looks out for any difference in it to detect anomalies or attacks. It is able to detect new attacks as any attack is assumed to be different ...

The recognition of 3D human pose from 2D joint location is fundamental to numerous vision issues in analysis of video sequences. Various methods using with skeletal model have been described in past decades, but there ...

Entity Resolution is the task of identifying duplicated records that refer to the same real-world entity. It is costly process that can take up to days for large datasets. Various Blocking Methods have been applied in ...

Personal Learning Environment (PLE) technology is centered on the concept of self-regulated learning that creates responsible learners, who are capable of critical thinking and able to plan their own learning processes. ...

Multilayer feedforward networks are one of the most used neural networks in various domains because of their universal approximation ability. One of the popular algorithms for training multilayer feedforward network ...