Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …

Crop cultivation prediction is an integral part of agriculture and is primarily based on factors
such as soil, environmental features like rainfall and temperature, and the quantum of …

Data mining is the extraction of knowledge from large databases. One of the popular data
mining techniques is Classification in which different objects are classified into different …

The paper presents a suspicious email detection model which incorporates enhanced
feature selection. In the paper we proposed the use of feature selection strategies along with …

Carrying out effective and sustainable agriculture has become an important issue in recent
years. Agricultural production has to keep up with an everincreasing population by taking …

Pre-processing plays a vital role in classification tasks, particularly when complex features
are involved, and this demands a highly intelligent method. In bioinformatics, where datasets …

Many threats in the real world can be related to activities of persons on the Internet. Spam is
one of the most pressing security problems online. Spam filters try to identify likely spam …

Due to substantial increases in data acquisition and storage, data pre-processing
techniques such as feature selection have become increasingly popular in classification …

With the rapid growing of internet and networks applications, data security becomes more
important than ever before. Encryption algorithms play a crucial role in information security …

This thesis proposes a new approach for feature selection in speech recognition at low
Signal to Noise Ratio (SNR). This concept is based on a two dimensional optimization of …