**1. Introduction**

With the increasing globalization in the construction sector, institutionalization is at the forefront. In addition, under increasing competition conditions, construction companies

© 2016 The Author(s). Licensee InTech. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. © 2018 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

are forced to differentiate in the methods and technologies they use in business processes in order to be able to share in the sectoral market and to protect and strengthen it [1]. When the construction works are examined in terms of their management functions, the result is that they are still largely human-focused. This situation pushes construction companies to survive in a highly competitive environment and to take positions in construction businesses, especially by increasing their loyalty to operating by transferring employees to business processes with greater motivation, and thus to obtain more efficiency. In short, the human factor, one of the inputs used in construction production, must be managed correctly. Businesses have to deal with systematic approaches through the management of employees.

on employee motivation/productivity has been analyzed. Thus, it is aimed to present the creation of the most suitable rules that can be used in the field of engineer leadership-employee motivation/productivity of the construction companies in Adana province and to present

Determination and Classification of Crew Productivity with Data Mining Methods

http://dx.doi.org/10.5772/intechopen.75504

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The results obtained by this method are analyzed with these data mining methods, and they are given and interpreted in "Findings and Discussion" and "Conclusion" sections of this study.

When the literature on the topic is considered, it is determined that there are deficiencies in the "Systematic Leadership Approach in the Construction Sector". It has also been determined that there is not enough consciousness about what employee productivity will be when applying which leadership styles. At the same time, it has been determined that there are deficiencies in how to increase employee productivity on a sectoral basis. Even if the number of works based on the construction sector in the field of employee productivity has increased in recent years, there is little research to measure the productivity by evaluating both sides and the subordinate relationship. It is believed that it is important to provide a systematic productivity analysis to the workers in the construction sector by eliminating this deficiency. Such a systematic development and submission to the use of sector representatives may lead to the

Unfortunately, too many sources were not found when the literature review was conducted in this area. Kaya and his colleagues [4] tried to estimate the productivity values with the help of data obtained from the survey of ceramic workers working in construction companies. These values, which are also used as attributes in the related study, are the number of teams, the work experience and the average age of the people on the crew. In their study, it was focused on how to achieve high productivity in ceramic works by means of mining rules by classifying productivity with the ceramic data obtained by using measurement methods. Andaç and Oral [5] presented the results obtained from their work using the Artificial Bee Colony Algorithm for estimating worker/labor productivity. In the work of Keleş and Kaya [6], they used the association rules and a data mining method, in order to increase employee productivity with the demographic information obtained from the workers working as wall masters/mason in the construction sector. In Keles's PhD thesis [7] "Determining the relationship between leadership of the site managers and motivation of their employees with the data mining in construction projects," a double-sided survey has been applied to site managers and their subordinates who work in the construction sites in Turkey. Following this conducted questionnaire, leadership was identified from two different perspectives. After determining the leadership models, the relationship between the leadership of the site chiefs and the motivations of the workers was determined by using the association rule mining method

deficiencies mentioned earlier and may also provide guidance.

them to the sector.

**2. Literature review**

from the data mining methods.

When the subject of this study and similar studies are examined, it can be seen that the studies related to construction project management give different and highly motivated results in the regions where the study is conducted, but they can give different results when the same study is conducted in another region. These researches have been inspired to make this study. The situation in Adana province, the relationships between the leadership styles and the motivations of employees are determined and only the results based on this province are taken into consideration in terms of the enterprises and employees working on this province.

The determination of the productivity of workers in the construction sector is directly related to the success of the enterprises. In the face of increasing competition, the businesses that do not measure the needs, locations, activities, and so on of their employees are also undergoing various losses, even if they are unaware.

In the light of all these, the main objective of this study is to determine the relationship between the civil engineers who are in managerial leadership position in the construction enterprises operating in Adana province and the subordinates of the master-worker-headman positions they work with in the leadership-motivation axis. In line with this aim, 100 construction companies were selected to conduct construction projects in Adana province and two questionnaires were applied on two sides, one for the leader and one for the employee.

For this purpose, the productivity relationship between the persons who are engineers work in the city of Adana, the ones who produce the building, the ones who work in the construction companies and workers who work in the subhierarchy of these engineers were examined. The identification of leadership types that will motivate and support employees has a great importance in terms of construction businesses where the human element is the fore ground. From the point of view of the construction site managers in charge of the sites, it is thought that it will be useful for the sector representatives, businesses and all employees to determine which leader type will motivate which employees. In this context, association rule mining were made with Apriori Algorithm using data mining methods using Weka [2] and Keel [3] software on the data obtained by the multiple leadership questionnaire (MLQ) applied bidirectionally to site chiefs and employees, and leadership and motivations/ efficiencies were classified by using classification algorithms. The impact of leadership styles on employee motivation/productivity has been analyzed. Thus, it is aimed to present the creation of the most suitable rules that can be used in the field of engineer leadership-employee motivation/productivity of the construction companies in Adana province and to present them to the sector.

The results obtained by this method are analyzed with these data mining methods, and they are given and interpreted in "Findings and Discussion" and "Conclusion" sections of this study.
