artificial immune systems (ais) can be defined as soft computing systems inspired by immune system of vertebrates. immune system is an adaptive pattern recognition system. ais have been used in pattern recognition, machine learning, optimization and clustering. feature reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encoun...

In this research, the nickel oxide was dissolved in cryolite at temperatures of 880, 940 and 1000°C. In order to reduce the nickel oxide, aluminum was added to the salt. Simultaneously the nickel oxide was reduced and Al3Ni2 intermetallic compound was formed. In the duration intervals of 2.5-40 minutes samples of the salt and metallic phases were taken. The variation of the nickel content in me...

Nowadays, increasing time series data has brought new challenges in many domains because their massive instances, dimensions, speed and complexity. In order to solve this problem, data reduction techniques are becoming an integral part of future systems, especially for Monitoring System. Different from most data reduction techniques which are based on information theory, this paper is planning ...

Categorical attributes are those that can take a discrete set of values, e.g., colours. This work is about compressing vectors over categorical to low-dimension vectors. The current hash-based methods do not provide any guarantee on the Hamming distances between compressed representations. Here we present FSketch create sketches for sparse data and an estimator estimate pairwise among uncompres...