مطالب

Being aware of the waiting time for selling residential units is one of the important issues in the housing sector for the majority of people, especially investors. There are several factors affecting the waiting time for selling residential units. Determining the influential factors on the time period of selling real estates can lead to an informed decision making by real estate consultants, sellers as well as those seeking to buy real estates. Using a real estate database in Iran, the present paper proposes a two-module procedure. The first module deals with implementation of association rule mining. Using the well-known association rule mining techniques namely FP-Growth, several association rules have been extracted which indicate the effective factors on the waiting time for selling residential units. Generated association rules have been evaluated based on metrics such as support, confidence and lift and finally the best rules are selected. The main objective of the second module is to develop a fuzzy inference system which can determine the factors influencing the waiting time for selling residential units from historical data, so that the model can be used to estimate the time it to sell the property for a real estate agency. Several IF-THEN rules are extracted from this module. Extracted rules can be used by real estate agencies as well as buyers and sellers of residential units to make better decisions in their investments. In conclusion section, a number of suggestions for future studies are presented. For example, machine learning algorithms such as neural networks, decision trees, etc. can also be used to predict the duration of residential units’ sale. The main objective of the second module is to develop a fuzzy inference system which can learn about the factors that influence the waiting time for selling residential units from historical data, so that the model can be used to estimate the time it takes to sell the property for a real estate agency. Several IF-THEN rules are extracted from this module. Extracted rules can be used by real estate agencies as well as buyers and sellers of residential units to make better decisions in their investments.

How to manage an English class is also affected by different factors such as personality traits. The present study is an attempt to explore the relationship between classroom management styles and personality traits in secondary school English teachers in Bushehr. It also examines the differences in teachers' classroom management styles in terms of to the gender. Thirty male and female English teachers in secondary schools formed the sample of the study. The subjects received two questionnaires of NEO –FFI personality traits questionnaire and Attitude and Beliefs on Classroom Control Inventory (ABCCI), a classroom management inventory. The findings revealed a significant relationship between classroom management styles and Neuroticism, extraversion, openness to experience and conscientiousness. Extraversion and openness showed a significantly positive relationship with people management. Also behavioral management and conscientiousness had a meaningful relation with instructional management. However, neuroticism had a negative relationship with instructional management. Gender cannot be regarded as an effective factor in classroom management style.