Claims, disputes, and litigations are major legal issues in construction projects, which often
result in cost overruns, delays, and adverse working relationships among the contracting …

The growing plethoras of social media outlets have sparked both opportunity and concern in
how organizations manage their corporate image. While previous research has examined …

In this paper, we examine the use of keywords in text categorization with SVM. In contrast to
the usual belief, we reveal that using keywords instead of all words yields better …

To harness the value of data generated from IoT, there is a crucial requirement of new
mechanisms. Machine learning (ML) is among the most suitable paradigms of computation …

Construction projects delivered using the Design-Build (DB) method include a single
contract which defines requirements associated with various disciplines involved in the …

Automatic classification of text documents has become an important research issue now
days. Proper classification of text documents requires information retrieval, machine learning …

In this study, a deep learning based solution with convolutional neural network is presented
to solve the problem of classification of dermoscopic images containing skin lesions …

Text document categorization is one of the rapidly emerging research fields, where
documents are identified, differentiated and classified manually or algorithmically. The paper …

Since the emergence of WWW, it is essential to handle a very large amount of electronic
data of which the majority is in the form of text. This scenario can be effectively handled by …

Bu çalışmada, Biyomedikal veri setleri üzerinde Klasik Makine Öğrenmesi (KMÖ)
yöntemlerinin sınıflandırma performansları analiz edilmiştir. Yapılan çalışmada UCI …