Email has become one of the fastest and most economical forms of communication. However, the increase of email users have resulted in the dramatic increase of spam emails during the past few years. In this paper, email data was classified using four different classifiers (Neural Network, SVM classifier, Naïve Bayesian Classifier, and J48 classifier). The experiment was performed based on differ...

Study the behavior of malicious software, understand the security challenges, detect the malware behavior automatically using dynamic approach. Study various classification techniques and to group these malwares and able to cluster different malware into unknown group whose characteristics are not known. The classifiers used in this research are k-Nearest Neighbors (kNN), J48 Decision Tree, and...

in the present study, classification trees (cts-j48 algorithm) were used to study the occurrence of roach in rivers in flanders (belgium). the presence/absence of roach was modelled based on a set of river characteristics. the predictive performance of the cts models was assessed based on the percentage of correctly classified instances (cci) and cohen's kappa statistics. to find the best model...

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 ...