Smart city is an application of Internet of Things (IoT) notion. Unceasing growth of population
and urbanization have intensified innovative ways to handle urbanization with minimal …

Detecting and repairing dirty data is one of the perennial challenges in data analytics, and
failure to do so can result in inaccurate analytics and unreliable decisions. Over the past few …

An examination of the uses of data within a changing knowledge infrastructure, offering
analysis and case studies from the sciences, social sciences, and humanities.“Big Data” is …

Rapid urbanization creates new challenges and issues, and the smart city concept offers
opportunities to rise to these challenges, solve urban problems and provide citizens with a …

Analysts often clean dirty data iteratively--cleaning some data, executing the analysis, and
then cleaning more data based on the results. We explore the iterative cleaning process in …

© 2019 Conference on Innovative Data Systems Research (CIDR). All rights reserved.
Modern data processing systems are designed to be general purpose, in that they can …

In the last years, wireless sensor networks (WSNs) have gained increasing attention from
both the research community and actual users. As sensor nodes are generally battery …

When monitoring spatial phenomena, which can often be modeled as Gaussian processes
(GPs), choosing sensor locations is a fundamental task. There are several common …

Many problems in artificial intelligence require adaptively making a sequence of decisions
with uncertain outcomes under partial observability. Solving such stochastic optimization …

Abstract Energy management in Wireless Sensor Networks (WSNs) is of paramount
importance for the remotely deployed energy stringent sensor nodes. These nodes are …