Big Data Analytics

CatBoost Algorithm

What is CatBoost Algorithm? CatBoost (Categorical Boosting) is a gradient boosting algorithm developed by Yandex. It is specifically designed to handle categorical features efficiently and automatically, without requiring extensive preprocessing…

Louvain Algorithm

Community detection is one of the most important problems in network science: given a graph, how do we find groups of nodes that are more densely connected to each other…

Girvan–Newman Algorithm

What is the Girvan–Newman Algorithm? The Girvan–Newman (GN) algorithm is a classic community detection method for networks (graphs). It identifies clusters (communities) by iteratively removing edges that act as “bridges”…

Linear Regression

What is the Linear Regression Algorithm? Linear regression is a supervised learning algorithm that models the relationship between one or more input variables (features) and a continuous output variable (target)…

Future Research Directions in Big Data Analytics

Big data’s introduction has completely changed how information is processed and decisions are made in a variety of fields, including the social sciences, astrophysics, healthcare, and finance. The difficulties in…

CatBoost Algorithm

Louvain Algorithm

Linear Regression

Future Research Directions in Big Data Analytics

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