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The IEEE International Conference on Data Mining (ICDM) has established itself as the world’s premier research conference in data mining and analytics. The conference covers aspects of data mining, including algorithms, software, systems and applications, and presents the Best Student Paper Award annually to a published paper presenting innovative solutions to challenging data mining problems, whose first author is a student. This year, “ProSecCo: Progressive Sequence Mining with Convergence Guarantees”, a paper by Brown CS student Sacha Servan-Schreiber and Brown PhD alums Matteo Riondato and Emanuel Zgraggen, was named the runner-up for this award.
Sacha is currently a senior at Brown pursuing an Sc.B in Computer Science, with academic interests in applied cryptography, decentralized networks, and data science. Matteo is a research scientist in the Labs group at Two Sigma, an innovative investment firm, and also holds an appointment as Adjunct Assistant Professor of Computer Science at Brown. Emanuel is a PostDoctoral Associate at MIT’s CSAIL DataBase Group with research interests including HCI, InfoVis, and Data Science. In their paper, the trio present an algorithm for progressive mining of frequent sequences from large transactional datasets. “The algorithm processes the datasets in blocks and outputs, after having analyzed each block, a high-quality approximation of the collection of frequent sequences,” they explain. Thanks to its properties, ProSecCo enables interactive data exploration, allowing analysts to remain engaged and continuously discover new insights from data.
Sacha, Matteo, and Emanuel’s paper can be found here.
For more information, click the link that follows to contact Brown CS Communications Outreach Specialist Jesse Polhemus.