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Nikesh získal magisterský titul na Bostonské vysoké škole a titul MBA na Severovýchodní univerzitě, obojí s vyznamenáním. Získal také osvědčení CFA (Chartered Financial Analyst). V roce 1989 absolvoval Technologický institut v indickém Varanásí a získal titul bakaláře v oboru elektrotechniky.
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Er hat mehr als ein Dutzend akademischer Arbeiten veröffentlicht, darunter Extracting Patterns and Relations from the World Wide Web, Dynamic Data Mining: A New Architecture for Data with High Dimensionality (zusammen mit Larry Page), Scalable Techniques for Mining Casual Structures, Dynamic Itemset Counting and Implication Rules for Market Basket Data und Beyond Market Baskets: Generalizing Association Rules to Correlations.
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Ha pubblicato più di una decina di articoli su riviste accademiche, fra cui Extracting Patterns and Relations from the World Wide Web; Dynamic Data Mining: A New Architecture for Data with High Dimensionality, pubblicato con Larry Page; Scalable Techniques for Mining Casual Structures; Dynamic Itemset Counting and Implication Rules for Market Basket Data e Beyond Market Baskets: Generalizing Association Rules to Correlations.
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نشر "برين" عشرات الأبحاث الأكاديمية، ومن بينها: Extracting Patterns and Relations from the World Wide Web وDynamic Data Mining: A New Architecture for Data with High Dimensionality، والذي نشره مع لاري بيدج وScalable Techniques for Mining Casual Structures وDynamic Itemset Counting and Implication Rules for Market Basket Data وBeyond Market Baskets: Generalizing Association Rules to Correlations.
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Hij heeft meer dan tien academische artikelen op zijn naam staan, waaronder Extracting Patterns and Relations from the World Wide Web; Dynamic Data Mining: A New Architecture for Data with High Dimensionality, dat hij samen met Larry Page publiceerde; Scalable Techniques for Mining Casual Structures; Dynamic Itemset Counting and Implication Rules for Market Basket Data en Beyond Market Baskets: Generalizing Association Rules to Correlations.
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Han har udgivet adskillige afhandlinger, bl.a. Extracting Patterns and Relations from the World Wide Web, Dynamic Data Mining: A New Architecture for Data with High Dimensionality, som han har skrevet sammen med Larry Page, Scalable Techniques for Mining Casual Structures, Dynamic Itemset Counting and Implication Rules for Market Basket Data og Beyond Market Baskets: Generalizing Association Rules to Correlations.
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Sergey on julkaissut yli tusinan akateemisia tutkimuksia kuten Extracting Patterns and Relations from the World Wide Web, Dynamic Data Mining: A New Architecture for Data with High Dimensionality, jonka hän julkaisi yhteistyössä Larry Pagen kanssa, Scalable Techniques for Mining Casual Structures, Dynamic Itemset Counting and Implication Rules for Market Basket Data sekä Beyond Market Baskets: Generalizing Association Rules to Correlations.
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Beliau telah menerbitkan lebih dari selusin makalah akademis, di antaranya Extracting Patterns and Relations from the World Wide Web; Dynamic Data Mining: A New Architecture for Data with High Dimensionality, yang diterbitkannya bersama Larry Page; Scalable Techniques for Mining Casual Structures; Dynamic Itemset Counting and Implication Rules for Market Basket Data; dan Beyond Market Baskets: Generalizing Association Rules to Correlations.
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Sergey는 Larry Page와 공저한 웹에서 패턴과 관계 추출(Extracting Patterns and Relations from the World Wide Web) 및 동적 데이터 마이닝: 고차원 데이터를 위한 새로운 구조(Dynamic Data Mining: A New Architecture for Data with High Dimensionality), 우연 구조 마이닝을 위한 확장 가능 기술(Scalable Techniques for Mining Casual Structures), 마켓 바스킷 데이터를 위한 DIC와 함축 규칙(Dynamic Itemset Counting and Implication Rules for Market Basket Data) 및 마켓 바스킷을 넘어: 상관관계에 대한 연관규칙의 일반화(Beyond Market Baskets: Generalizing Association Rules to Correlations)를 비롯하여 십여 편 이상의 논문을 발표했습니다.
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הוא פרסם למעלה מתריסר מאמרים אקדמיים, ביניהם Extracting Patterns and Relations from the World Wide Web; Dynamic Data Mining: A New Architecture for Data with High Dimensionality, שפרסם ביחד עם לארי פייג'; Scalable Techniques for Mining Casual Structures; Dynamic Itemset Counting and Implication Rules for Market Basket Data וכן Beyond Market Baskets: Generalizing Association Rules to Correlations.
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