As Chinese is an ideographic character-based language, the words in the texts are not delimited by spaces. Indexing of Chinese documents is impossible without a proper segmentation algorithm. Many Chinese segmentation algorithms have been proposed in the past. Traditional segmentation algorithms cannot operate without a large dictionary or a large corpus of training data. Nowadays, the Web has ...

The maximum closure problem of a vertex-weighted directed graph is a classical optimization problem. Motivated by image segmentation and data mining applications, we consider a variant that computes the maximum union of closures of two different graphs on a shared vertex set. We show that the problem is NP-hard to approximate within a bounded approximation ratio even for trees.

Big data time series data streams are ubiquitous in finance, meteorology and engineering. It may be impossible to process an entire “big data” continuous data stream or to scan through it multiple times due to its tremendous volume. In Heraclitus’s well-known saying, “you never step in the same stream twice,” and so it is with “big data” temporal data streams. Unlike traditional data sets, big ...

Due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. Association Rules Mining is one of the data mining techniques to extract useful patterns in the form of association rules. One of the main problems in applying this technique on databases is the disclosure of sensitive data by endangering security and privacy. Hiding the as...

the concept of intelligently controlling the search process of gravitational search algorithm (gsa) is introduced to develop a novel data mining technique. the proposed method is called fuzzy gsa miner (fgsa-miner). at first a fuzzy controller is designed for adaptively controlling the gravitational coefficient and the number of effective objects, as two important parameters which play major ro...

this paper presents a comprehensive review of the works done, during the 2000–2012, in the application of data mining techniques in credit scoring. yet there isn’t any literature in the field of data mining applications in credit scoring. using a novel research approach, this paper investigates academic and systematic literature review and includes all of the journals in the science direct onli...

background: selecting the correct statistical test and data mining method depends highly on the measurement scale of data, type of variables, and purpose of the analysis. different measurement scales are studied in details and statistical comparison, modeling, and data mining methods are studied based upon using several medical examples. we have presented two ordinal–variables clustering exampl...

patients and methods in this cross-sectional study, data of 584 female patients (mean age of 45.9 years) referred to breast cancer research center (tehran, iran) were analyzed anonymously. spss and norm softwares (2.03) were used for data transformation, running and interpretation of cca and replacing missing values, respectively. data were obtained from breast cancer research center, tehran, i...