This paper presents a Computational Intelligence scheme to deal with subjective human inspection tasks in the industry that are subjective measurements. The scheme is used to solve two cosmetic subjective measurements tasks, classification of cosmetic defects and detection of non-uniform color regions in a translucent film. The first problem is solved with two approaches supervised and unsuperv...

Numerous organizations collect and share large amounts of data due to the proliferation of information technologies and internet. The information extracted from these databases through data mining process may reveal private information of individuals. Privacy preserving data mining is a new research area, which allows sharing of privacy-sensitive data for analysis purpose. In this paper a hybri...

This paper approaches a recent hybrid evolutionary algorithm, called Evolutionary Clustering Search (ECS), that proposes a way of detecting promising areas combining an evolutionary algorithm and a iterative clustering. The search strategy become more aggressive in such detected areas by applying local search. In this paper, we developed a preprocessing phase for the ECS applying a locationallo...

Capacitated Centered Clustering problem (CPMP) is an important variation of p-median problems. The p-median problems are known to be NP-hard. A hybrid genetic algorithm is used to solve the problem efficiently. The analysis shows that the performance of the proposed algorithm is better than the traditional local search heuristic.

The machine-part cell formation problem consists of creating machine cells and their corresponding part families with the objective of minimizing the inter-cell and intra-cell movement while maximizing the machine utilization. This article demonstrates a hybrid clustering approach for the cell formation problem in cellular manufacturing that conjoins Sorenson’s similarity coefficient based meth...

Unlabeled document collections are becoming increasingly common and available; mining such data sets represents a major contemporary challenge. Using words as features, text documents are often represented as high dimensional and sparse vectorsa few thousand dimensions is typical. Practical approaches to clustering such document vectors use an iterative procedure (e.g. k-means, EM) that is know...

Most auction approaches assume that bidding agents must be available to take on a new task when they submit or at least commit to a bid. This works well for pre-planning, for example, before a group of robots takes on a mission with multiple tasks, as the robots have not yet been assigned to any tasks. However, once a mission has begun, it is difficult to adapt to new situations that arise usin...

We introduce a hybrid approach to solar flare prediction, whereby a supervised regularization method is used to realize feature importance and an unsupervised clustering method is used to realize the binary flare/no-flare decision. The approach is validated against NOAA SWPC data.

Harnessing previously issued queries to facilitate collaborative querying is an approach that can help users in digital libraries and other information systems better meet their information needs. Here, the kernel step is to identify and cluster similar queries by mining the query logs. However because of the short lengths of queries, it is relatively difficult to cluster queries effectively us...

Computer systems generate a large amount of data that, in terms of space and time, is very expensive even impossible to store. Besides this, many applications need to keep an historical view of such data in order to provide historical aggregated information, perform data mining tasks or detect anomalous behavior in the computer systems. One solution is to treat the data as streams that can be p...