Review of Data Mining Tools, Techniques and Applications

International Journal of Computer Applications, 2015

Data mining is the process of extracting the useful data, patterns and trends from a large amount of data by using techniques like clustering, classification, association and regression. There are a wide variety of applications in real life. Various tools are available which supports different algorithms. A summary about data mining tools available and the supporting algorithms is the objective of this paper. Comparison between various tools has also been done to enable the users use various tools according to their requirements and applications. Different validation indices for the validation are also summarized.

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2022

Data mining is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. It is well-known that data mining is a significant sub-field of knowledge management and that it is one of the most important information exploration phases in the database cycle. Over the ensuing decades, the practice of data mining will increase in market and learning companies. An introduction to the fundamentals of data mining is provided in this paper.

2015

In layman terms Data-mining can be related to human cognitive mind where based on previous knowledge and experience we can relate things happening around us or sometimes even predict the future. Data mining is a process of searching data from a pool of data like database, web-servers, cloud based servers etc. and provide a pattern or relationships among those data to produce desired information. This paper conducts a formal review of the concept of data-mining, the standard tasks involve in data-mining, its applications in day to day field, techniques and methodology.

International Journal of Distributed and Parallel systems, 2010

In the Information Technology era information plays vital role in every sphere of the human life. It is very important to gather data from different data sources, store and maintain the data, generate information, generate knowledge and disseminate data, information and knowledge to every stakeholder. Due to vast use of computers and electronics devices and tremendous growth in computing power and storage capacity, there is explosive growth in data collection. The storing of the data in data warehouse enables entire enterprise to access a reliable current database. To analyze this vast amount of data and drawing fruitful conclusions and inferences it needs the special tools called data mining tools. This paper gives overview of the data mining systems and some of its applications.

International Journal of Innovative Research in Computer Science & Technology, 2019

Data mining is the process of extracting hidden and useful patterns and information from data. Data mining is a new technology that helps businesses to predict future trends and behaviors, allowing them to make proactive, knowledge driven decisions. The aim of this paper is to show the process of data mining and how it can help decision makers to make better decisions. Practically, data mining is really useful for any organization which has huge amount of data. Data mining help regular databases to perform faster. They also help to increase the profit, because of the correct decisions made with the help of data mining. This paper shows the various steps performed during the process of data mining and how it can be used by various industries to get better answers from huge amount of data.

2018

In this paper, the idea of data mining was sum up and its importance towards its methodologies was descried along with their algorithms. In this paper the techniques and the applications of data mining was surveyed in detail. In this paper we also survey that how you can extract large data sets with the help of data mining. It has been seen that methods of data mining vary according to their data sets. In this paper our main focus on techniques that how you can apply different techniques on huge data sets and extract the fruitful information from that data.

—With an enormous increase in data stored in data warehouses and databases, it is important to develop tools which could analyze data and refine required knowledge from it. This paper provides an overview of data mining and how to extract a basic knowledge. This paper also gives review about various applications where data mining can be effective to improve their business and get excellent results. Even we have discussed some future trends where data mining can be proved effective in various fields.

Data mining is a process which finds useful patterns from large amount of data. The paper discusses few of the data mining techniques, algorithms and some of the organizations which have adapted data mining technology to improve their businesses and found excellent results.

Data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information – making it more accurate, reliable, efficient and beneficial. In data mining various techniques are used-classification, clustering, regression, association mining. These techniques can be used on various types of data; it may be stream data, one dimensional, two dimensional or multi-dimensional data. In this paper we analyze the data mining techniques based on various parameters. All data mining techniques used for prediction, extraction of useful data from a large data base. Each of the techniques have different performance and result .

2014

Data mining is one of the most important steps of the knowledge discovery in databases process and is considered as significant subfield in knowledge management. Research in data mining continues growing in business and in learning organization over coming decades. This review paper explores the data mining tools which have been developed to support knowledge management process.Data mining has become an essential factor in various fields including business, education, health care, finance, scientific etc because of the large amount of the data. To analyse this vast amount of data and depict the fruitful conclusions and inferences, it needs specific data mining tools. This paper discusses the knowledge discovery process, data mining, various open source tools in the field of data mining from past to the present and explores the future trends.