Role of Data Mining: A Survey and its Implications (original) (raw)

Survey on Data Mining and its Area of Application

In this Paper we have focused on different area of the research in which data mining play very important role. This includes data mining techniques and function which are used in real life to resolve many problems. In this review paper we have discuss about some field like medical ,education, banking, marketing in which we use data mining techniques and algorithm for organization profit.

Review Paper on Data Mining TechniquesandApplications

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.

Data Mining Technique its Needs and Using Applications

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.

DATA MINING: A TECHNIQUE WITH WIDENING APPLICATIONS AND HAVING SOME ISSUES

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.

A Summarized Report on Data Mining and It’s Essential Algorithms

International Journal of Engineering Research and, 2015

In this today's generation enormous amount of data stored in databases and data warehouses, for analysis the stored data for business intelligence to decision making, becomes difficult. Data mining is a process of deriving knowledge from such a huge data. In this article a summarized report on the data mining and its essential algorithms are categorized.

The Review on Data Mining Techniques and its Applications

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.

A Survey : Use of Data Mining in Various Field

Data mining is to extract the knowledge/information from a large amount of data which stores in multiple heterogeneous databases. Knowledge /information are conveying the message through direct or indirect. This paper provides a survey of various data mining techniques. These techniques include association, correlation, clustering and neural network. This research paper also conducts a formal review of the application of data mining such as the education sector, marketing, fraud detection, manufacturing, and telecommunication. This paper discusses the topic based on past research paper and also studies the data mining techniques.

Once-Over on Data Mining : Rapid search about its tasks and applications

—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 System and Applications: A Review

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.

AN EMPIRICAL ANALYSIS ON DATA MINING SYSTEM AND ITS TECHNIQUES

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.