Water bodies are essential to humans and other forms of life. Identification of water bodies can be useful in various ways, including estimation of water availability, demarcation of flooded regions, change detection, and so on. In past decades, Landsat satellite sensors have been used for land use classification and water body identification. Due to the introduction of a New Operational Land I...

This article presents the machine learning approach used by the University of Wolverhampton in the GREC-NEG’09 task. A classifier based on J48 decision tree and a meta-classifier were used to produce two runs. Evaluation on the development set shows that the metaclassifier achieves a better performance.

<span lang="EN-US">Dissolved gas analysis (DGA) is widely accepted as an effective method to detect incipient faults within power transformers. Gases such hydrogen, methane, acetylene, ethylene and ethane are normally utilized identify the transformer fault conditions. Several techniques have been developed interpret DGA results key method, Doernenburg, Rogers, IEC ratio-based methods, Du...

Data mining is a technique that involves the application of specific algorithms, which generate a list of patterns based on large volumes of information that is useful for decision making in wide fields of application, as detection of patterns in diseases. This paper proposes to carry out a cancer analysis by means of data mining techniques, applied on a sample of 3365 cases, using association ...

In today’s world, gigantic amount of data is available in science, industry, business and many other areas. This data can provide valuable information which can be used by management for making important decisions. But problem is that how can find valuable information. The answer is data mining. Data Mining is popular topic among researchers. There is lot of work that cannot be explored till no...

Intrusion Detection System is very important tool for network security. However, suffers from the problem of handling large volume data and produces high false positive rate. In this paper, a novel Grading method ensemble has proposed to overcome limitation intrusion detection system. Partial decision tree (PART), RIpple DOwn Rule (RIDOR) learner J48 have used as base classifiers classifier. Op...

The performance of repair services is very important to determine the achievement consumer confidence. strategy that needs be made pay attention timeliness repairs so no one harmed between consumers and service providers. Tracing information on data from effective way accuracy computer time. collection used comes Istidata Indopacific Solution Center (IISC) dataset, consisting a completion time ...

Technology advancements in the world of information have made it easier for many people to process data. Data mining is a more valuable from large data sets. The research aims determine difference between C.45 and random forest algorithms predict childbirth pregnant women. It compares accuracy performance results C4.5 delivery Then, experimental conducted classify Situbondo, Indonesia, by apply...