Clustering and classification are two important techniques of data mining. Classification is a supervised learning problem of assigning an object to one of several pre-defined categories based upon the attributes of the object. While, clustering is an unsupervised learning problem that group objects based upon distance or similarity. Each group is known as a cluster. In this paper we make use o...

The role of technology in education industry is increasing day by day specially after reaching the growth rate of the IT industry to the saturation point. That is why, even AICTE has closed the affiliation of engineering colleges in number of states. So, education industry can change their plan to survive in this environment by using data mining techniques to identify the outstanding students a...

Clinical studies in the past have shown that the pathology of Alzheimer’s disease (AD) initiates, 10 to 15 years before the visible clinical symptoms of cognitive impairment starts to appear in AD diagnosed patients. Therefore, early diagnosis of the AD using potential early stage cerebrospinal fluid (CSF) biomarkers will be valuable in designing a clinical trial and proper care of AD patients....

Classification is the most widely applied machine learning problem today, with implementations in face recognition, flower classification, clustering, and other fields. The goal of this paper to organize identify a set data objects. study employs K-nearest neighbors, decision tree (j48), random forest algorithms, then compares their performance using IRIS dataset. results comparison analysis sh...

BACKGROUND Traditional activity recognition solutions are not widely applicable due to a high cost and inconvenience to use with numerous sensors. This paper aims to automatically recognize physical activity with the help of the built-in sensors of the widespread smartphone without any limitation of firm attachment to the human body. METHODS By introducing a method to judge whether the phone ...

ABSTRACT: In this paper, sorting of two Iranian varieties of pistachio, “Akbari” (Ak) and “Kaleghouchi” (Ka), by the decision tree and fuzzy logic classifier is investigated. 240 Ak and 120 Ka pistachio nuts impacted to a stainless steel plate through a chute, and the acoustic signal of these impacts picked up using a microphone and saved on a computer via a sound card. Further analysis has bee...

and Objective Nearly at every patient visit medical documents are produced and stored in a medical record, often in unstructured form as free text. Growing amount of stored documents increases the need for effective and timely retrieval of information. We developed a multi-label classification system to categorize German language free text medical documents (e.g. discharge letters, clinical fin...