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The most unwaveringly heard fanciful word in today's digital world is “Big Data”. It is arriving from multiple sources at an alarming velocity, volume and variety. Innovative analytics and skills are vital to excerpt knowledge from big data. This knowledge will drive the further innovation with new trade and services. Big data features, applications, and challenges related to each application are conversed. Antique machine learning techniques that can be applied proficiently on big data platforms are discoursed. Algorithms in classification, clustering and association that can be scalable to mine knowledge from big data are presented. This survey will be helpful for the practitioners and researchers to select an appropriate method for a given application.
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Stored only when both papers are in the corpus — 14 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.