Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
نویسندگان
چکیده
Scheduling in computational grids addresses the allocation of computing jobs to globally distributed compute resources. In a frequently changing resource environment, scheduling decisions have to be made rapidly. Depending on both the job properties and the current state of the resources those decisions 1 ha l-0 07 58 20 8, v er si on 1 29 N ov 2 01 2 Author manuscript, published in "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2, 4 (2012) 287-297" DOI : 10.1002/widm.1060
منابع مشابه
The use of classification trees for bioinformatics
Classification trees are non-parametric statistical learning methods that incorporate feature selection and interactions, possess intuitive interpretability, are efficient, and have high prediction accuracy when used in ensembles. This paper provides a brief introduction to the classification tree-based methods, a review of the recent developments, and a survey of the applications in bioinforma...
متن کاملData mining in education
Applying data mining (DM) in education is an emerging interdisciplinary research field also known as educational data mining (EDM). It is concerned with developing methods for exploring the unique types of data that come from educational environments. Its goal is to better understand how students learn and identify the settings in which they learn to improve educational outcomes and to gain ins...
متن کاملAdvances in data stream mining
Mining data streams has been a focal point of research interest over the past decade. Hardware and software advances have contributed to the significance of this area of research by introducing faster than ever data generation. This rapidly generated data has been termed as data streams. Credit card transactions, Google searches, phone calls in a city, and many others\are typical data streams. ...
متن کاملFrequent item set mining
Frequent item set mining is one of the best known and most popular data mining methods. Originally developed for market basket analysis, it is used nowadays for almost any task that requires discovering regularities between (nominal) variables. This paper provides an overview of the foundations of frequent item set mining, starting from a definition of the basic notions and the core task. It co...
متن کاملAn overview of the use of neural networks for data mining tasks
In the recent years the area of data mining has experienced a considerable demand for technologies to extract knowledge from large and complex data sources. There is a substantial commercial interest as well as research activities in the area that aim to develop new and improved approaches for extracting information, relationships, and patterns from datasets. Artificial Neural Networks (NN) are...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012