The idea of ensemble methodology is to build a predictive model by integrating multiple
models. It is well-known that ensemble methods can be used for improving prediction …

Decision trees have become one of the most powerful and popular approaches in
knowledge discovery and data mining; it is the science of exploring large and complex …

Two research strands, each identifying an area of markedly increasing importance in the
current development of pattern analysis technology, underlie the review covered by this …

1. Introduction to pattern classification. 1.1. Pattern classification. 1.2. Induction algorithms.
1.3. Rule induction. 1.4. Decision trees. 1.5. Bayesian methods. 1.6. Other induction …

Artificial intelligence (AI) is a scientific discipline that aims to create intelligent machines.
Machine learning is a popular and practical AI subfield that aims to automatically improve …

The idea of decomposition methodology is to break down a complex Data Mining task into
several smaller, less complex and more manageable, sub-tasks that are solvable by using …

Stacking is a general ensemble method in which a number of base classifiers are combined
using one meta-classifier which learns their outputs. Such an approach provides certain …

We investigate the classifier combination models presented in (Kittler et al., 1998; Kittler,
1998) and validate them experimentally. We emulate the behaviour of individual experts by …

A multistage scheme for the recognition of handwritten Bengali characters is introduced. An
analysis of the Bengali character set has been carried out to isolate specific high-level …

Bank Cheques are used mainly for financial transactions due to which they are processed in
enormous amounts on daily basis around the globe. Often, Cheque execution time and …