Analysis and Comparison of Data Mining Tools Using Case Study of Library Management System

Bansal, Manu; Kaur, Mandeep

doi:10.7763/ijiee.2013.v3.359

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Many organizations frequently underuse the general information answering frameworks created in different Indian dialects. Manu Bansal et al [13] discovered that the term & quot; information mining & quot; was the most well-known at the time. It is necessary to mine these data repositories for information and fascinating examples.…”

Section: Literature Reviewmentioning

confidence: 99%

Review on a rule based approach to align natural language with query language

Singh,

Bansal

2023

Int. J. Comput. Programming Database Manage.

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Information is crucial to our daily life in the globe. Databases are one of the main sources of information. Massive amounts of data are stored in databases. For access to that data, knowledge of structured query language is necessary. The requirement for a system that converts text to a SQL query itself rather than the user arises from the fact that not all non-technical people can do that. Due to its importance in industry and commerce, the text to SQL task is also essential. The system that supports the text-to-SQL job is called Natural Language Interface to Database (NLIDB). The creation of the NLIDB system has long been a challenge. In this paper, we review the current work and summarize the research trends of NLIDB.

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Section: Literature Reviewmentioning

confidence: 99%

Review on a rule based approach to align natural language with query language

Singh,

Bansal

2023

Int. J. Comput. Programming Database Manage.

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Data Mining in Different Fields: A Study

Kaderye,

Arif,

Kundu

2024

International Journal of Innovative Science and Research Techno

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A revolutionary technique for managing massive amounts of data from databases is data mining. These days, information is more commonplace in all types of businesses and industries. For a range of business objectives, fields choose data mining approaches, and data mining is what makes it possible for fields to establish the ideal customer baseline and cultivate long-lasting relationships. Statistical analysis, machine learning, predictive modelling, and database approaches are all combined in knowledge discovery. This review research focuses on and quickly discusses the various domains in which data mining is applied. Here, we discuss several sectors where data mining is relevant in order to comprehend its significance. We also discuss the numerous technologies used in related fields, which depend on user desire. To learn about it, many algorithms are described.

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Analysis and Comparison of Data Mining Tools Using Case Study of Library Management System

Cited by 2 publications

References 7 publications

Review on a rule based approach to align natural language with query language

Review on a rule based approach to align natural language with query language

Data Mining in Different Fields: A Study

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