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Martha Vassiliadou

dblp:20/3718 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 100%
Databases, data mining, and information retrieval
1 paper
Data stream processing · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › query processing
top-k query processing
0.112009
KSpot: Effectively Monitoring the K Most Important Events in a Wireless Sensor Network · ICDE 2009
Internet of things and sensor networks
wireless sensor network
0.112009
KSpot: Effectively Monitoring the K Most Important Events in a Wireless Sensor Network · ICDE 2009

Methods — techniques the papers use, named apart from their topics

distributed top-k algorithms · 0.2
YearPublicationVenuePosition
2009 KSpot: Effectively Monitoring the K Most Important Events in a Wireless Sensor Network
abstract
This demo presents a graphical user interface and ranking system, coined KSpot, for effectively monitoring the K highest-ranked answers to a query Q in a wireless sensor network. KSpot deploys state-of-the-art distributed top-k query processing algorithms in order to realize both snapshot queries and historic queries minimizing the consumption of system resources and prolonging the lifetime of the deployed sensor network. Additionally, KSpot is user-friendly and customizable featuring an intuitive user interface that enables a user to express declarative SQL-like queries over any ad-hoc scenario and to display the results graphically as opposed to the traditional tabular representation. To demonstrate the applicability of our system during the conference, we will continuously identify the K conference rooms with the highest sound level and display them such that conference attendees will be able to quickly determine the rooms with the most active discussions. The demo will also allow attendees to customize the system by changing the target scenario (e.g., by adapting the K value, the sensed parameter, etc.) Finally, we will present KSpot's system panel which continuously displays the savings in energy and messages that our system yields.
Panayiotis Andreou, Demetris Zeinalipour, Martha Vassiliadou, Panos K. Chrysanthis, George Samaras
ICDE3