Research in Computer Science and Engineering

January 27, 2017
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Large Data Management

Removing understanding from Large Information is a higher-touch business today, needing an individual expert who deeply knows the applying domain in addition to a growing ecosystem of complex distributed systems and advanced record techniques. These experts are hired simply for his or her record expertise, but report that almost all time is spent scaling and optimizing the relatively fundamental data manipulation tasks when preparing for that actual record analysis or machine learning step: determining relevant data, cleaning, blocking, joining, grouping, changing, removing features, and evaluating results. The database groupin Information Technology &lifier Engineering has some projects that concentrate on Large Data Management and also the related challenges. Probably the most relevant projects include:
  1. AstroDB: Since 2008, the DB group has built a ongoing and fruitful collaboration with faculty within the Astronomy department.Cloud Data Pricing Astronomy is definitely an exemplar Large Data science together with fascinating challenges rich in potential impact. The database group can also be an essential participant within the UW eScience institute by which we collaborate with multiple other domain researchers across campus.
  2. Myria: Concentrates on creating a new system for Large Data Management that's both fast and versatile, offering this technique like a cloud service, and addressing both theoretical and systems challenges connected with Large Data Management like a Cloud service. See also our earlier Nuage project.
  3. SQLShare: A cloud-located collaborative database-as-a-service platform targeted at automating or getting rid of obstacles to presenting relational databases: installation, configuration, schema design, tuning, data consume, as well as application building. You just upload your computer data and immediately start querying and discussing it.

Large Data Machine Learning

UW is among the world's top centers of research in machine learning. We are involved in most major regions of ML and in a number of programs like natural language processing, vision, computational biology, the net, and internet sites.

CQM Project http://homes.cs.washington.edu/~pedrod/logo.jpg Example visualizations eScience Institute logo
Source: www.cs.washington.edu
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