Big Data

Big Data

FP-Growth vs. Apriori: A Comprehensive Comparison of Frequent Pattern Mining Algorithms

Introduction Frequent Pattern Mining, also known as Association Rule Mining, is a powerful analytical process that helps in discovering frequent patterns, associations, or causal structures from various databases such as relational and transactional databases. It plays a significant role in Market Basket Analysis, a data analysis technique used by retailers to identify patterns in customer …

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Data Leakage is a Serious Concern in The Field of Data Science

Data leakage is a serious concern in the field of data science, as it can compromise the integrity and reliability of data analysis and machine learning models. Data leakage occurs when information from the testing or training data is inadvertently included in the model, leading to overoptimistic performance estimates and poor generalization to new data. …

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Why Becoming a Data-Driven Organization is Challenging

Becoming a data-driven organization is a goal for many companies, as it can help drive business decisions, improve efficiency, and gain a competitive edge. However, achieving this goal can be difficult for several reasons. One of the biggest challenges of becoming a data-driven organization is the significant investment in technology and infrastructure that is required. …

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10 Facts about Analytics

Analytics refers to the use of data, statistical and quantitative analysis, and explanatory and predictive modeling to gain insights and drive decision-making. Analytics can be applied to a wide range of fields, including business, finance, healthcare, marketing, sports, and science. There are different types of analytics, including descriptive, diagnostic, predictive, and prescriptive. Descriptive analytics involves …

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