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Information on the Web is growing dramatically. Without a recommended system, the users may spend lots of time on the Web in finding the information they are interested in [5]. With the Web becoming the most popular media for collecting, sharing, and distributing information, it is very common for educational institutions, and organizations to develop Web-Based Training (WBT) systems [6]. Data mining...
In this paper, an enhanced efficient approach for speeding up the evolution process for finding minimum supports, membership functions and fuzzy association rules is proposed by utilizing clustering techniques. All the chromosomes use the requirement satisfaction derived only from the representative chromosomes in the clusters and from their own suitability of membership functions to calculate the...
There are a variety of uncertainties in construction projects because of the uniqueness, complexity and the one time off characteristics of each project. Especially in the investment decision-making stage, decision-maker grasps so little information that there is a huge informational gap in this stage. The process of mining existing information in the investment decision-making stage is also the process...
There are two shortages in usual methods for agricultural land evaluation: (1) too many manual interferences into the calculating procession, (2) the relatively large differences of partial units are concealed in certain factors. We designed a hyper graph clustering model in this paper based on fuzzy frequent item sets to conduct the evaluation for quality of agricultural land. The database for land...
How to extract or “mining” knowledge from mass of datum are one of research field in Data Mining. Extracting fuzzy rules from sample data through taking the advantage of neural network. According to the fuzzy method in fuzzy control technology, a fuzzy language variable be generated in mining approach. To present a bi-direction training algorithm based on BP algorithm in neural network, which depends...
With the rapid development of computer network technology, network not only provides the service for the people, but also has brought many negative effects. Intrusion detection is used to solve this problem. In order to improve the speed and intensity of intrusion detection, data mining technology can be applied to intrusion detection systems. Association rules are a common method in data mining....
Self-organizing maps (SOM) have become a commonly-used cluster analysis technique in data mining. However, SOM are not able to process incomplete data. To build more capability of data mining for SOM, this study proposes an SOM-based fuzzy map model for data mining with incomplete data sets. Using this model, incomplete data are translated into fuzzy data, and are used to generate fuzzy observations...
To design the methods of textual information authenticity controlling in systems of electronic document circulation authors offered the new approaches based on application the fuzzy semantic hyphernet and use of statistical and structural information redundancy. The models, algorithms and programmed-sold modules of text processing authenticity controlling system are developed for extraction of structural...
The advent of data mining has contributed significantly to the field of customer management. The payment center in Maersk finds that it's difficult to charge customers for the balance due. Thus the research on the application of artificial neural networks in classification of data mining will be conducted in this paper. Since the knowledge captured by neural networks is represented at a sub-symbolic...
The following topics are dealt with: intelligent system design; neural networks, AI and expert systems; evolutionary computation; genetic algorithms; natural language processing & machine translation; artificial life and artificial immune systems; rough and fuzzy rough set; gray system and cloud computing; cognitive radio and computer vision; pattern recognition and machine learning; fuzzy system...
In this paper, a novel approach is presented to solve the problems of dynamic data mining(DM) such as low effectiveness, high randomness and hard implementation. With the extension of the concept data mining process, the evolutionary and immune characteristics in dynamic mining are first illustrated respectively, based on the facts of the relationship between data mining tasks and the global optimization...
In this paper, approaches to data enlargement based on variable threshold concept lattices are studied. Property theorems of a δ-consistent set and a decidability theorem of a δ-enlargement set are proposed respectively.
Econometrics is the field of economics that concerns itself with the application of mathematical statistics and the tools of statistical inference to the empirical measurement of relationships postulated by economic theory. Some variable data with fuzzy characteristics are neglected in empirical analysis. Since some econometrics data can have fuzzy characteristics, nothing but fuzzy logic can be applied...
There are some shortages in usual methods for land evaluation that too many manual interferences into the calculating procession. A hypergraph clustering model is designed with the knowledge discovery method in this paper based on fuzzy frequent itemsets to conduct the evaluation for quality of farmland. It executes the mining association rules to the fuzzy itemsets given by the definition of evaluation...
The habitual purpose of data mining is prediction, one of the most direct real-world applications. There are many technologies available to data mining in literature and they achieved some results with reasonable accuracies. This paper designs and implements an advanced model based on fuzzy inference system, namely Standard Additive Model (SAM) for forecasting the output of any record given the input...
A computer aided system is proposed to screen and sort the non-patent literatures in this paper. It is introduced that the present situation and strategy of screening in data processing. The system here is a man-machine interactive system. First, knowledge and experience which stand for the know-how of the experts were inserted into the knowledge base, including the screening rules and principle in...
Aiming at providing support for fashion product development, the research analysed the Fuzzy Front End in fashion design and the processes of the pre-development in the industry. The functions of data mining and its applications in fashion product development were discussed. A case study was conducted based on the data mining of the 3-D body scan measurements. Principal component analysis, correlation...
Multi-factor of regional social relates to the landscape pattern, Model can simulate the drive mechanism can result by computer simulation . This paper inferred the forecast model of fuzzy weight Markov chain. The new model which is called FWMC to predict the future, combining the character of landscape and the theory of Markov chain, value of cultivated land demand in land use planning. Factors to...
Aiming at the problem of the incisive boundary for mining association rules about quantative data using algorithm about boolean data, this paper gives a series of definitions of fuzzy association rules and proposes a mining algorithm based on prefix tree indexed on support for fuzzy association rules. The algorithm can store fuzzy pattern candidate sets and frequent sets compressibly by constructing...
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