Heart failure is included in the category of cardiovascular disease. disease not easy to detect, and its detection needs be done by experienced skilled medical professionals. Most patients with heart require hospitalization. Common symptoms disease, such as chest pain high or low blood pressure, vary from person person. This study aims find most optimal k value based on accuracy obtained calcul...

Fuzzy Inductive Reasoning (FIR) is a methodology for qualitative modeling and simulation of systems behavior. FIR inference engine is based on the k-nearest neighbor (k-NN) rule, commonly used in the Pattern Recognition eld. The adaptation of the k-NN in an ad hoc 5-NN method has been proved to be very successful in the past, obtaining good results for diierent kind of systems. However, in some...

This paper presents the results of the application of an instance based learning algorithm k Nearest Neighbor Method on Fea ture Projections k NNFP to text categorization and compares it with k Nearest Neighbor Classi er k NN k NNFP is similar to k NN ex cept it nds the nearest neighbors according to each feature separately Then it combines these predictions using a majority voting This prop er...

Seperti kota lain yang berada di pulau Jawa, Banyuwangi memiliki batik khas sendiri. Motif juga keunikan sendiri, apalagi motif dimiliki sangat beragam. Sejarah dan filosofi dari batiknya menarik terutama gajah oling merupakan tertua paling dikenal wilayah Banyuwangi. Dimana generasi orang muda saat ini sudah tidak bisa mengenali daerah asalnya, mengklasifikasikan menurut filosofi, jenis, warna...

Recognizing TimeML events and identifying their attributes, are important tasks in natural language processing (NLP). Several NLP applications like question answering, information retrieval, summarization, and temporal information extraction need to have some knowledge about events of the input documents. Existing methods developed for this task are restricted to limited number of languages, an...

Detection and estimation of causality relationships between two random processes is a fundamental problem in many natural and social sciences [1]. This task is in particular challenging as in many real-life scenarios one does not have a good underlying statistical model for the considered process, e.g., in the fields of neuroscience, financial markets, meteorology, etc. For such scenarios it is...