Data Mining System and Applications: A Review

Data mining, the extraction of hidden predictive information from large databases, invented as a powerful new technology with great potential to help companies and organizations to focus on the most important information in their data warehouses. Data mining uses machine learning, statistical and visualization techniques to discovery and present knowledge in a form which is easily comprehensible to humans. Various popular data mining tools and techniques are available today for supporting large amount of applications. Data mining tools predict future trends and behaviors, allowing it’s users to make proactive, knowledge-driven decisions. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations. With these large amount of features and applications there are some challenging issues also which are not exclusive and are not ordered in any way. This paper presents an overview of the data mining technique, Some of its vital applications and issues needs to be addressed.

Data mining is a field of research which is escalating gradually. Data mining is the method of analyze data from unique views and summarization it interested in useful data. "Data mining, also in general referred to like knowledge discovery from data (KDD), is the computerize or suitable extraction of patterns in place of knowledge completely stored or captured in large databases, data warehouse, the web, other vast information repositories or information streams". Data mining machine works with data warehouse and the whole process is divided into action plan to be performed on data: selection, transformation, mining and results elucidation. In this term paper, we have reviewed equal types of obedience in data mining, also make clear different areas somewhere used data mining feeling and used of it.

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.

Today Data Engineering assumes a crucial part in every parts of the human life. It is extremely vital to assemble information from diverse sources Lots of data mining tools are available in the market, but each tool has their own strengths and weaknesses. But Data mining means how to search relevant data from large database. And to solve this kind of broblem we use the concept of data mining It means by using various kind of data mining tools we easily find out the information from large data base.without wasting our time. In this paper we discuss various type of tools which help in data mining.there are certain measures which checked by organization before purchasing the mining tool .organisation only purchase that tool which meets the requirement of organization.because eevery organization has different requirements of mininig.this paper only give the description of various type of data mining tools. This paper examines the learning revelation process, information mining, differen...

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.

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.

Data mining is an extraction of knowledge discovery from huge amount of data which is previously unknown and potentially useful for analytical processing and decision making. The other acronyms of data mining are such as Data archeology, Data dredging, Information harvesting and Business Intelligence. The various data mining techniques are used to find the hidden interestingness or new patter to store the data. These techniques and approaches of data mining can efficiently build the new environment for analyzing and predictions. This paper highlights data mining process and its various techniques to find the interestingness. Finally, concluded with its limitations. The objective of the paper is opens new horizons for researchers of forthcoming generations.

Today in organizations, the developments in the transaction processing technology requires that, amount and rate of data capture should match the speed of processing of the data into information which can be utilized for decision making. A data warehouse is a subjectoriented, integrated, time-variant and non-volatile collection of data that is required for decision making process. Data mining involves the use of various data analysis tools to discover new facts, valid patterns and relationships in large data sets. Data mining also includes analysis and prediction for the data. Data mining helps in extracting meaningful new patterns that cannot be found just by querying or processing data or metadata in the data warehouse. This paper includes need for data warehousing and data mining, how data warehousing and mining helps decision making systems, Knowledge Discovery process and various techniques involve in data mining.

2014

Data mining is a process of using different algorithms to find useful patterns or models from data. It is a process of selecting, exploring and modeling large amount of data. Mostly used in technology and also used in different areas of real life like finance, marketing, business. It can also be used in different social science methodologies, such as psychology, cognitive science and human behavior etc. The ability to continually change and acquire new understanding is a driving force for the application of DM. This allows many new future applications of data mining (1) as in today's world the need of data in every field is growing very vast. So, for satisfying our need there should be proper Data Mining techniques available. In this paper we are presenting valuable information about data mining.

This Paper gives an introduction of Data Mining System and development of different data mining systems. How many data mining tools or systems really exist? What are different platform under which these tools or systems has been designed? What are different areas for which these data mining system has been devised or developed. After doing study and research on data mining system. we have to decide which platform is best for the development of Data Mining System and to understand the importance of data mining system and platform on which it has been developed. As we know what is importance of data mining system for big and large organization, when the company is working in different parts of country and producing large amount of data then it very important to analyze that data which account for productivity and cost benefits from that data. Now it is important to understand that which part of the organization is giving benefit and where the organization is losing. So to take any dec...