Email has become one of the frequently used forms of communication. Everyone has at least one email account. Inflow of spam messages is a major problem faced by email users. Currently there are many spam filtering techniques. As the spam filtering techniques came up, spammers improved their methods of spamming. Thus, an effective spam filtering technique is the timely requirement. In this paper...

Intrusion detection systems (IDSs) are currently drawing a great amount of interest as a key part of system defence. IDSs collect network traffic information from some point on the network or computer system and then use this information to secure the network. Recently, machine learning methodologies are playing an important role in detecting network intrusions (or attacks), which further helps...

Learning Disability (LD) is a neurological condition that affects a child's brain and impairs his ability to carry out one or many specific tasks. It is a classification including several disorders in which a child has difficulty learning in a typical manner, usually caused by an unknown factor or factors. LD affects about 15% of children enrolled in schools. An affected child can have normal o...

In this paper, we develop a heart disease prediction model that can assist medical professionals in predicting heart disease status based on the clinical data of patients. Firstly, we select 14 important clinical features, i.e., age, sex, chest pain type, trestbps, cholesterol, fasting blood sugar, resting ecg, max heart rate, exercise induced angina, old peak, slope, number of vessels colored,...

Numerous data mining techniques have been developed to extract information and identify patterns and predict trends from large data sets. In this study, two classification techniques, the J48 implementation of the C4.5 algorithm and a Naive Bayes classifier are applied to predict lung cancer survivability from an extensive data set with fifteen years of patient records. The purpose of the proje...

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...

the Paper presents the comparison of different classification techniques for the task of classifying Number plate image data set. The comparison was conducted using WEKA (Waikato Environment for Knowledge Analysis) open source which mainly consists the collection of machine learning algorithms for data mining purpose. The main purpose of this paper is to investigate efficiency of different clas...