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Han har publicerat mer än ett dussin akademiska artiklar, bl.a. Extracting Patterns and Relations from the World Wide Web, Dynamic Data Mining: A New Architecture for Data with High Dimensionality, som han publicerade tillsammans med Larry Page; Scalable Techniques for Mining Casual Structures, Dynamic Itemset Counting and Implication Rules for Market Basket Data och Beyond Market Baskets: Generalizing Association Rules to Correlations.
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From 2001-2011, Eric served as Google’s chief executive officer, overseeing the company’s technical and business strategy alongside founders Sergey Brin and Larry Page. Under his leadership, Google dramatically scaled its infrastructure and diversified its product offerings while maintaining a strong culture of innovation.
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Il a publié de nombreux articles dans des revues universitaires, dont Extracting Patterns and Relations from the World Wide Web ; Dynamic Data Mining: A New Architecture for Data with High Dimensionality (en collaboration avec Larry Page) ; Scalable Techniques for Mining Casual Structures ; Dynamic Itemset Counting and Implication Rules for Market Basket Data et Beyond Market Baskets: Generalizing Association Rules to Correlations.
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Er hat mehr als ein Dutzend wissenschaftlicher Arbeiten veröffentlicht, darunter Extracting Patterns and Relations from the World Wide Web, Dynamic Data Mining: A New Architecture for Data with High Dimensionality (in Zusammenarbeit 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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Ha publicat més d'una dotzena d'articles, entre els quals s'inclouen: Extracting Patterns and Relations from the World Wide Web; Dynamic Data Mining: A New Architecture for Data with High Dimensionality, que va publicar amb Larry Page; Scalable Techniques for Mining Casual Structures; Dynamic Itemset Counting and Implication Rules for Market Basket Data, i Beyond Market Baskets: Generalizing Association Rules to Correlations.
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Publikoval více než tucet vědeckých studií včetně následujících: Extracting Patterns and Relations from the World Wide Web, Dynamic Data Mining: A New Architecture for Data with High Dimensionality (publikováno společně s Larry Pagem), Scalable Techniques for Mining Casual Structures, Dynamic Itemset Counting and Implication Rules for Market Basket Data a Beyond Market Baskets: Generalizing Association Rules to Correlations.
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Hän on julkaissut yli tusinan akateemisia tutkimuksia, mukaan lukien Extracting Patterns and Relations from the World Wide Web, Dynamic Data Mining: A New Architecture for Data with High Dimensionality, jonka hän julkaisi yhdessä Larry Pagen kanssa, Scalable Techniques for Mining Casual Structures, Dynamic Itemset Counting and Implication Rules for Market Basket Data ja 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) 외에, 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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Opublikował kilkanaście prac naukowych, w tym Extracting Patterns and Relations from the World Wide Web; Dynamic Data Mining: A New Architecture for Data with High Dimensionality, napisaną razem z Larrym Page'em; Scalable Techniques for Mining Casual Structures; Dynamic Itemset Counting and Implication Rules for Market Basket Data oraz Beyond Market Baskets: Generalizing Association Rules to Correlations.
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เซอร์เกย์มีผลงานทางวิชาการที่ได้รับการตีพิมพ์เป็นจำนวนมาก ซึ่งได้แก่ Extracting Patterns and Relations from the World Wide Web, Dynamic Data Mining: A New Architecture for Data with High Dimensionality ซึ่งเป็นผลงานร่วมกับแลร์รี่ เพจ, Scalable Techniques for Mining Casual Structures, Dynamic Itemset Counting and Implication Rules for Market Basket Data และ Beyond Market Baskets: Generalizing Association Rules to Correlations
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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, שפורסם בשיתוף 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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