With the introduction of Industry 4.0 into our lives and creation smart factories, predictive maintenance has become even more important. Predictive systems are often used in manufacturing industry. On other hand, text analysis Natural Language Processing (NLP) techniques gaining a lot attention by both research industry due to their ability combine natural languages industrial solutions. There...

Semantic-similarity measures quantify concept similarities in a given ontology. Potential applications for these measures include search, data mining, and knowledge discovery in database or decision-support systems that utilize ontologies. To date, there have not been comparisons of the different semantic-similarity approaches on a single ontology. Such a comparison can offer insight on the val...

Subjective quality measures based on Human Visual System for images do not agree well with well-known metrics such as Mean Squared Error and Peak Signal to Noise Ratio. Recently, Structural Similarity Measure (SSIM) has received acclaim due to its ability to produce results on a par with Human Visual System. However, experimental results indicate that noise and blur seriously degrade the perfor...

Annotations of the genes and their products are largely guided by inferring homology. Sequence similarity is the primary measure used for annotation purpose however, the domain content and order were given less importance albeit the fact that domain insertion, deletion, positional changes can bring in functional varieties. Of late, several methods developed quantify domain architecture similari...

The unsupervised nature of cluster analysis means that objects can be clustered in many different ways. This means that different clustering algorithms can lead to vastly different results. To address this, clustering similarity comparison methods have traditionally been used to quantify the degree of similarity between alternative clusterings. However, existing techniques utilize only the poin...

Phylogenetic analyses of languages need to explicitly address whether the languages under consideration are related to each other at all. Recently developed permutation tests allow this question to be explored by testing whether words in one set of languages are significantly more similar to those in another set of languages when paired up by semantics than when paired up at random. Seven diffe...

The widespread relevance of complex networks is a valuable tool in the analysis of a broad range of systems. There is a demand for tools which enable the extraction of meaningful information and allow the comparison between different systems. We present a novel measure of similarity between nodes in different networks as a generalization of the concept of self-similarity. A similarity matrix is...

Webpage comparison compare the similarity of two webpages. It can be useful in areas such as distinguishing phishing website and making personal recommendation. Most of the previous work on webpage comparison focus on visual comparsion using image processing technique, which is not good at extracting information from the text in the webpage. Moreover, visual comparison cannot tell the content c...

Music software applications often require similarity-finding methods. One instance involves performing content-based searches, where music similar to what is heard by the listener is retrieved from a database using audio or symbolic input. Another instance involves music generation tools where compositional suggestions are provided by the application based on user-provided musical choices (e.g....

Motivation: There are many biologically meaningful definitions of protein similarity, and, as this problem is both important and challenging new comparison techniques are constantly being developed and refined. Rather than arbitrarly choosing one comparison technique in detriment of another one we have collected in one unique web server a variety of similarity assessment methods. In this paper ...