Supervised Regionalization Methods: A Survey

Supervised Regionalization Methods: a Survey*

This paper reviews almost four decades of contributions on the subject of supervised regionalization methods. These methods aggregate a set of areas into a predefined number of spatially contiguous regions while optimizing certain aggregation criteria. The authors present a taxonomic scheme that classifies a wide range of regionalization methods into eight groups, based on the strategy applied ...

Methods of Economics: A Survey of Matters and Methods

In spite of sonic pessimistic attitudes towards methodology of economics, it has succeeded as a central theme in numerous books, refereed journals, international conferences and symposiums whose volume is increasing at an unprecedented rate. The proliferation of methodological literature also is accompanied by a proliferation of issues that concern: the goals of economics, realism of economics,...

A Survey on Inductive Semi-supervised Learning

Supervised Machine Learning Approaches: a Survey

One of the core objectives of machine learning is to instruct computers to use data or past experience to solve a given problem. A good number of successful applications of machine learning exist already, including classifier to be trained on email messages to learn in order to distinguish between spam and non-spam messages, systems that analyze past sales data to predict customer buying behavi...

Supervised Opinion Mining Techniques: A Survey

Opinions play a very important role for human beings. Whenever a decision has been taken, opinions of others are also considered. Nowadays millions of web-users express their opinions about many topics through blogs, chats and social networks. Businesses and organizations always want to find consumer or public opinions about their products and services. In e-commerce and e-tourism, it is very i...