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Adam Marcus
Researcher at Princeton University
Publications - 75
Citations - 5710
Adam Marcus is an academic researcher from Princeton University. The author has contributed to research in topics: Conjecture & Crowdsourcing. The author has an hindex of 30, co-authored 72 publications receiving 5267 citations. Previous affiliations of Adam Marcus include Massachusetts Institute of Technology & Yale University.
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Proceedings Article
Scalable semantic web data management using vertical partitioning
TL;DR: The results show that a vertical partitioned schema achieves similar performance to the property table technique while being much simpler to design, and if a column-oriented DBMS is used instead of a row-oriented database, another order of magnitude performance improvement is observed, with query times dropping from minutes to several seconds.
Proceedings ArticleDOI
Twitinfo: aggregating and visualizing microblogs for event exploration
TL;DR: TwitInfo allows users to browse a large collection of tweets using a timeline-based display that highlights peaks of high tweet activity, and can identify 80-100% of manually labeled peaks, facilitating a relatively complete view of each event studied.
Journal ArticleDOI
Excluded permutation matrices and the Stanley-Wilf conjecture
Adam Marcus,Gábor Tardos +1 more
TL;DR: This paper examines the extremal problem of how many 1-entries an n × n 0-1 matrix can have that avoids a certain fixed submatrix P and proves a linear bound for any permutation matrix P.
Journal ArticleDOI
Interlacing families II: Mixed characteristic polynomials and the Kadison{Singer problem
TL;DR: Weaver et al. as discussed by the authors used the method of interlacing polynomials introduced in our previous article to prove two theorems known to imply a positive solution to the Kadison-Singer problem.
Journal ArticleDOI
SW-Store: a vertically partitioned DBMS for Semantic Web data management
TL;DR: The results show that a vertically partitioned schema achieves similar performance to the property table technique while being much simpler to design, and the architecture of SW-Store, a new DBMS that implements these techniques to achieve high performance RDF data management.