High fire occurrence in Riau Province, Indonesia has been going on in the recent years with large areas occurring in the peat soil. In this paper a data mining technique namely classification was applied on forest fire data to develop classification models for hotspots occurrence in Riau Province. The models provide characteristics of areas where active fires occurred. We studied physical data ...

Dalam dunia penerbangan, keselamatan dan kelancaran arus lalu lintas penerbangan merupakan business core, dimana setiap pelayanan diharapkan tidak terjadi delay yang disebabkan oleh terjadinya holding pergerakan pesawat baik di udara maupun darat. Oleh karena itu slot time bandara sangat penting untuk ketepatan Departure Arrival, hal ini dimaksudkan menghindari penumpukan antrian akan berangkat...

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...

Intrusion detection system is an important technology in the market sector as well as in the area of research. Intrusion detection is considered a useful security tool that assists in preventing attacker’s access to networks or systems. The determination of genuineness of packets is a key issue and various approaches of classification have been presented. The complexity of a classifier is great...

Pre-fetching is one of the technologies used in reducing latency on network traffic on the Internet. We propose this technology to utilise Mobile Cloud Computing (MCC) environment to handle latency issues in context of data management. However, overaggressive use of the pre-fetching technique causes overhead and slows down the system performance since pre-fetching the wrong objects data wastes ...

Data mining is the process of analyzing data from a different category. This data provide information and data mining will extracts a new knowledge from it and a new useful information is created. Decision tree learning is a method commonly used in data mining. The decision tree is a model of decision that looklike as a tree-like graph with nodes, branches and leaves. Each internal node denotes...

BACKGROUND Improving maternal health and reducing maternal mortality rate are key concerns. One of the eight millennium development goals adopted at the millennium summit, was to improve maternal health in Ethiopia. This leads towards discovering the factors that hinder postnatal care visit in Ethiopia. METHODS In this research, knowledge discovery from data (KDD) was applied to identify the ...

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....