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Currently data mining techniques and health/medical informatics are still new. Data mining researchers start paying more attention on these matters. Association Rule is one of important methods in data mining. By discovering data association, new useful information can be obtained. In this paper, a researcher has presented a basic method of discovering an association of diabetes mellitus with complication...
In this paper, the proposed scheme detects database tampering by embedding the important characteristics of the original database. The association rule of frequent pattern tree (FP-tree) data mining is utilized to determine the relationship existing among the protected attributes and others in the database. Meanwhile, support vector regression (SVR) is applied to predict each protected attribute value...
The exception-handling mechanism has been widely adopted to deal with exception conditions that may arise during program executions. To produce high-quality programs, developers are expected to handle these exception conditions and take necessary recovery or resource-releasing actions. Failing to handle these exception conditions can lead to not only performance degradation, but also critical issues...
The student's assessment is the core of learning process, which facilitates teachers to evaluate a student's knowledge level; furthermore, the precise measurement helps the students knowledge development reaches their full potential. Usually, this assessment method is also known as computer adaptive testing (CAT). The conventional CAT systems contain its own item bank, which is stored separately in...
It is the basic way to enhance service ability to predict customer behavior in the process of E-commerce activities. Through applying temporal description logic (TL-ALCF) in describing the rules of time-dependent customer behavior change, this article puts forward a method in acquiring algorithms through improving the temporal correlated rules of the FP-tree(frequent pattern tree), and further constructs...
Proteins perform most important biochemical reactions in organisms, such as the catalysis, signal transduction, and transport of nutrients. The urgent need of automatic annotation is due to the advent of high-throughput sequencing techniques in the post-genomic era. Proteins consist of domains which are elementary building units of protein folding, function, and evolution. The evidence of protein...
In this paper, a classification system based on association rule to determine the types of power quality event is presented. Firstly, a single feature vector representing three phase event signal is obtained by applying the wavelet transform to event signals in this system. The inputs of generating association rules algorithm are obtained by applying proper transform process to these feature vectors...
The studies of protein-DNA bindings between transcription factors (TFs) and transcription factor binding sites (TFBSs) are important bioinformatics topics. High-resolution (length<10) TF-TFBS binding cores are discovered by expensive and time-consuming 3D structure experiments. Recent association rule mining approaches on low-resolution binding sequences (TF length>490) are shown promising in...
The raw data from an Automated Blood Cell Counter is transformed in to a Preprocessed and Flattened data using the preprocessing phases of the Knowledge Discovery in Databases and the transformed data is used to create meaningful associations between the attributes of the database in this paper. Various Association Rules are generated using general algorithm and apriori algorithm. The apriori algorithm...
This work attempt to developing the FP-Growth data mining algorithm through use several knowledge constructions to build up a novel tool called Frequency Pattern-Knowledge Constructions (FP-KC) to find the association rules and to satisfy the goal of dimension reduction methods is using the correlation structure among the predicator variables by reduction the main three dimensions (features, samples...
AHP Construct Mining Component (ACMC), which is a new term, is an enhancement of applicable structure for multidimensional and multi-level complex dataflow. ACMC is applied into data mining framework and different processing components with the purpose are improvement on numerous aspects in multiply level. ACMC provides not only an integrated platform to support different processing components with...
In this paper a system for voice of customer analysis is proposed, which will produce strong rules to help organization to take business decisions. It uses parallel association rule mining for rule generation and data usually tends to be very huge so partitioning is done on the basis of sentiment of customer. For this purpose text mining algorithm is used which extracts information from unstructured...
Human Resource department (HR) plays vital and tedious role in recruiting manpower for organization and forced to use more accurate talent evaluation applications for selecting multi-talented personnel based on resumes, received in huge quantity but most of the talent evaluation applications are based on evaluating talent but not risk factors. This paper presents the solution for selecting appropriate...
This article proposes a simple frequent pattern mining algorithm using link structure. The “LinkRuleMiner” has a distinct feature that it has a very limited and precisely predictable main memory cost and runs very quickly in memory based settings. Moreover, it can be scaled up to very large databases using database partitioning. This article analyzes the coloring process of dyeing unit using newly...
Network security technology has become crucial in protecting government and industry computing infrastructure. Modern intrusion detection applications face complex requirements — they need to be reliable, extensible, easy to manage, and have low maintenance cost. In recent years, data mining — based intrusion detection systems (IDSs) have demonstrated high accuracy, good generalization to novel types...
The burden of lifestyle diseases such as diabetes have reached epidemic proportions since the last decade in India. An estimated 75 million people in India would become diabetic by 2025. However, the existing healthcare infrastructure is inadequate to meet the demands of this exploding population. Provisioning a web-based patient support system that helps in patient centered decision making and physician...
In this paper, a method combining Genetic Network Programming-based class association rule mining and Neural Networks is proposed for continuous traveling time prediction. Genetic Network Programming (GNP)[1], as an extended algorithm of GP[2], shows its advantage because of its graph structures. GNP is used to generate class association rules[3]. Then, the average matching degree of the data with...
In the recent research area, the association rule mining is one of the popular technique in the domain of data mining. The association rule mining is first implemented in dyeing unit in my previous research papers. But already this association rule mining technique is used in the area of finance, healthcare, automobile and sales and distribution, etc. In this article, the dyeing process, generate...
Image mining deals with the extraction of image patterns from a large collection of images. Clearly, image mining is different from low-level computer vision and image processing techniques because the focus of image mining is in extraction of patterns from large collection of images, whereas the focus of computer vision and image processing techniques is in understanding and / or extracting specific...
Genetic Algorithm and Association Rules both are commonly used methods in data mining. In this paper, a brief overview of Genetic Algorithm and Association Rules has been given, and this paper has presented an improved extract method of association rules of genetic algorithm based on their respective advantages and disadvantages. It also did some research on designing encoding methods, structuring...
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