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Mining high utility itemsets from databases is an important data mining task for discovery of itemsets with high utilities. However, it may present too many HUIs to users, which also degrades the efficiency of the mining process. Frequent Item set Mining (FIM) is a one of its popular applications is...
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Fuzzy Logic Based Consent Neighbor Clustering in High Dimensional Data
High dimensional data clustering arises naturally in a lot of domains and have regularly presented a great deal with for usual data mining techniques. In this paper, presents an optimal perspective on the problem of Consensus Clustering in high-dimensional data. The proposed method called Fuzzy based and Kernel mappings with...
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A Study on the Aspects of Business Intelligence System in Data Mining
The term Business Intelligence (BI) represents the tools and systems that play a key role in the strategic planning process of the corporation. These systems allow a company to gather, store, access and analyze corporate data to aid in decision-making. Generally these systems will illustrate business intelligence in the areas...
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A Study of Dimensionality Reduction Using Roughset Based K-Means
Feature reduction of pattern dimensionality using feature extraction and feature selection belongs to the data mining. To enhance the robustness of the k-means clustering algorithm and for visualization purpose the dimension reduction techniques may be employed. Randomized dimensionality reduction is the transformation of high-dimensional data into a significant illustration of...
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The data matrix is considered as static in Traditional clustering and feature selection methods. However, the data matrices evolve smoothly over time in many applications. A simple approach to learn from these time-evolving data matrices is to analyze them separately. Such strategy ignores the time-dependent nature of the underlying data....
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Survey on Big Data and Applications of Real Time Big Data Analytics
Today, analytics over big data is an important factor to success in many application domains. Such as financial market trading and surveillance, medicine, fraud detection and telecommunication, transportation, security, crowd control, military, early warning for natural disaster, large scale emergency response, smart grid, etc. So many big data applications in...
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Advanced Calculation of Complex Keyword Queries Above Databases
In this paper, the authors analyze and study about the efficient query retrieval in the database. The queries on the databases provide easy access to data to be searched. But they suffer with a problem called low ranking quality which is been shown in the recent benchmarks. They have to...
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Evaluation and Comparison of Data Mining Techniques Over Bank Direct Marketing
All bank marketing campaigns are dependent on customers' huge electronic data. It is impossible for a human analyst to come up with interesting information that will help in the decision-making process due to the size of these data sources. Data mining models are completely helping in the performance of these...
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Location based service is a positioning method that exploits the already existing infrastructures such as cellular networks or WLANs. Increasing demand for energy efficient networks, the authors are proposing a clustering technique for compressing the radio database in login systems. The aim of the proposed technique is to reduce the...
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Data Mining Techniques for Cloud Technology
Over the past few years, cloud computing retrieves required data from the huge database with lesser amount of time becomes tedious. Hence without having a proper cache management framework the retrieval of required data from the cloud data servers becomes difficult. Here, this paper suggest a probabilistic framework for efficient...
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