Concepts of Data Mining and Process Mining

Singh, Vineeta; Kaushik, Vandana Dixit

doi:10.1201/9781003169550-1

Cited by 2 publications

(1 citation statement)

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“…Data mining [7] refers to a process in which valuable information is extracted from unstructured or structured datasets stored in databases or cloud platforms. According to [8].…”

Section: Data Miningmentioning

confidence: 99%

The Effect of Using Data Pre-Processing by Imputations in Handling Missing Values

Karrar

2022

IJEEI

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The evolution of big data analytics through machine learning and artificial intelligence techniques has caused organizations in a wide range of sectors including health, manufacturing, e-commerce, governance, and social welfare to realize the value of massive volumes of data accumulating on web-based repositories daily. This has led to the adoption of data-driven decision models; for example, through sentiment analysis in marketing where produces leverage customer feedback and reviews to develop customer-oriented products. However, the data generated in real-world activities is subject to errors resulting from inaccurate measurements or fault input devices, which may result in the loss of some values. Missing attribute/variable values make data unsuitable for decision analytics due to noises and inconsistencies that create bias. The objective of this paper was to explore the problem of missing data and develop an advanced imputation model based on Machine Learning and implemented on K-Nearest Neighbor (KNN) algorithm in R programming language as an approach to handle missing values. The methodology used in this paper relied on the applying advanced machine learning algorithms with high-level accuracy in pattern detection and predictive analytics on the existing imputation techniques, which handle missing values by random replacement or deletion.. According to the results, advanced imputation technique based on machine learning models replaced missing values from a dataset with 89.5% accuracy. The experimental results showed that pre-processing by imputation delivers high-level performance efficiency in handling missing data values. These findings are consistent with the key idea of paper, which is to explore alternative imputation techniques for handling missing values to improve the accuracy and reliability of decision insights extracted from datasets.

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“…Data mining [7] refers to a process in which valuable information is extracted from unstructured or structured datasets stored in databases or cloud platforms. According to [8].…”

Section: Data Miningmentioning

confidence: 99%

The Effect of Using Data Pre-Processing by Imputations in Handling Missing Values

Karrar

2022

IJEEI

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A Brief Overview of Cyber Security Advances and Techniques Along With a Glimpse on Quantum Cryptography

Singh,

Kaushik

2023

Exploring Cyber Criminals and Data Privacy Measures

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The vulnerability of wireless communication systems and technologies to various cyberattacks has been made public in recent years via different researchers; these cyberattacks not only impact private businesses but also government institutions. Sensitive and private data safety is a major challenge because of hackers since they are always trying to find loopholes in security models with different strong tactics and tools for cracking any sized keys. For minimizing such invasions, various developments have been made. This chapter carries out an in-depth study of several standard cyber security strategies currently in practice and the difficulties to be faced in cyber security practices. The modern efficient key systems are also shown, and the latest generation vulnerabilities are well described and reported. The advantages of quantum cryptography are highlighted along with its potential in the future. It presents a summarized glimpse in different aspects for novice researchers to educate themselves with recent developments in the cyber security field.

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Concepts of Data Mining and Process Mining

Cited by 2 publications

References 0 publications

The Effect of Using Data Pre-Processing by Imputations in Handling Missing Values

The Effect of Using Data Pre-Processing by Imputations in Handling Missing Values

A Brief Overview of Cyber Security Advances and Techniques Along With a Glimpse on Quantum Cryptography

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