The Finger-to-nose test (FNT) is an accepted neurological evaluation to study the coordination conditions. In this work, a methodology for the analysis of data from FNT is proposed, aimed at assessing the evolution of the condition of Spinocerebellar Ataxia type 2 (SCA2) patients. First of all, test results obtained from both patients and healthy individuals are processed through principal comp...

Estimating seasonal variations in demand is a challenging task faced by many organisations. There may be many stock-keeping units (SKUs) to forecast, but often data histories are short, with very few complete seasonal cycles. It has been suggested in the literature that group seasonal indices (GSI) methods should be used to take advantage of information on similar SKUs. This paper addresses two...

weather circulation patterns play a main role in the occurrence of environmental phenomena especially in middle latitude. occurrence of dry and wet spells is in relation to synoptical system repetitions and types of weather. in this research first by using of standard precipitation index (spi), extensive droughts in the province were identified. then by using principal component analysis (pca) ...

In this paper, a boosting-based incremental hybrid intrusion detection system is introduced. This system combines incremental misuse detection and incremental anomaly detection. We use boosting ensemble of weak classifiers to implement misuse intrusion detection system. It can identify new classes types of intrusions that do not exist in the training dataset for incremental misuse detection. As...

Penelitian ini bertujuan untuk mengenali hasil persebaran seluruh provinsi di indonesia berlandaskan data dari tingkat pengangguran terbuka dengan memanfaatkan clustering analysis. Algoritma yang digunakan dalam prosedur penelitian yaitu K-Mean Clustering. Hasil analisa Clustering menunjukkan 34 dibagi menjadi 2 kelompok, pertama adalah kelompok tinggi dan kedua rendah. Kelompok jenjang terdiri...

this paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. during recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. however, the nature of these decisions is usually complex and unstructured. in general, many quantitative and qualitative factors, such as quality, price, and fl...

Clustering is a primary data description method in data mining which group’s most similar data. The data clustering is an important problem in a wide variety of fields. Including data mining, pattern recognition, and bioinformatics. There are various algorithms used to solve this problem. This paper presents the comparison of the performance analysis of Fuzzy C mean (FCM) clustering algorithm a...

The main aspiration of Grid Computing is to aggregate the maximum available idle computing power of the distributed resources, and provide well-organized services to users. An efficient grid resource allocation is very much essential to achieve this aspiration. Researchers had proposed many grid scheduling mechanisms in the past to fulfill this aspiration, but, these are mostly based on traditi...

Unsupervised learning methods such as clustering techniques are a natural choice for analyzing software quality by mining its related metrics. It is well known that clustering plays an important role in data mining tasks like in data analysis and information retrieval. In this paper, we have proposed an approach to cluster the pool of java classes based on the proximity between them. To know th...

This paper shows how it made possible in geographical science to observe the seismic zone, clustering of highly sensitive earthquake zone and spatial data clustering during important geographical processes. This paper shows simple density based and KMean clustering technique. Density-Based clustering is done here using density estimation and by searching regions which are denser than a given th...