Which mathematician is credited with developing 'market basket analysis', a fundamental algorithm in retail big data that revolutionized how stores identify product affinities and customer purchasing patterns?

In today's data-driven retail landscape, mathematical models power everything from inventory optimization to customer behavior predictions. But the intersection of retail big data and advanced mathematics has a fascinating history with key innovators who transformed how businesses understand consumer patterns. This trivia question explores one of the breakthrough developments that changed how retailers leverage mathematical insights.

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Rakesh Agrawal (IBM researcher who formalized the Apriori algorithm in 1993)
Andrew Ng (Stanford professor known for machine learning but not market basket analysis)
Florence Nightingale David (statistician famous for other applications, not retail analytics)
Ronald Fisher (pioneered statistical methods but not specifically for retail applications)