Data mining is most useful in identifying data patterns and deriving useful business insights from those patterns.
To accomplish these tasks, data miners use a variety of techniques to generate different results..
Patterns, associations, or insights that can be used to improve decision-making or understanding.
Focus is on the discovery of useful knowledge, rather than simply finding patterns in data.
Data mining focus is on the discovery of patterns or relationships in data.May 23, 2023.
Companies collect a massive amount of data about their customers and prospects.
By observing consumer demographics and online user behavior, companies can use data to optimize their marketing campaigns, improving segmentation, cross-sell offers, and customer loyalty programs, yielding higher ROI on marketing efforts.
Predictive analyses can also he.
Data mining and knowledge discovery is the principle of analyzing large amounts of data and picking out relevantinformation leading to the knowledge discovery process for extracting meaningful patterns, rules and models from raw data making discovered patternsunderstandable.
Given the evolution of data warehousing technology and the growth of big data, adoption of data mining techniques has rapidly accelerated over the last couple of decades, assisting companies by transforming their raw data into useful knowledge.
In other words, the data are complex.
Knowledge discovery starts with exploration of thiscomplexity in order to find inconsistencies, artifacts, errors, etc. in the data.
After data are cleaned, it is usually still extremelycomplex.
Descriptive data mining deals with comprehending and reducing this complexity.
Knowledge discovery approaches contribute to social computing through its information processing technology and computational methods to conduct data mining to reveal hidden patterns of collective and individual behaviors and shed new light on causal discovery and theory innovation
2 Knowledge discovery and data mining 2 1Data mining and knowledge discovery is the principle of analyzing large amounts of data and picking out relevantinformation leading to the knowledge discovery process for extracting meaningful patterns, rules and models from raw data making discovered patternsunderstandable
Knowledge discovery in the database (KDD) emerged from the necessity of analyzing big data
KDD is the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data ( Fayyad et al
, 1996, page 84)Data mining techniques and terminology draw from three academic fields
Technique for database mining
