Demo Data from VLDB 2026 / reviewers in the wild / expert
Dwi A. P. Rahayu
dblp:22/8764
· DBLP profile ↗
3ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Energy systems and smart grids · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Ubiquitous computing and smart environments · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy systems and smart grids › energy disaggregation
appliance monitoring |
0.2 | 1 | 2014 | SocketWatch: An autonomous appliance monitoring system · PerCom 2014 |
Ubiquitous computing and smart environments
smart home |
0.1 | 1 | 2014 | SocketWatch: An autonomous appliance monitoring system · PerCom 2014 |
Methods — techniques the papers use, named apart from their topics
behavioral modeling · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Scalable teacher forcing network for semi-supervised large scale data streams
Mahardhika Pratama, Choiru Za'in, Edwin Lughofer, Eric Pardede, Dwi A. P. Rahayu |
Inf. Sci. | 5 |
| 2014 | SocketWatch: An autonomous appliance monitoring systemabstractA significant amount of energy is wasted by electrical appliances when they operate inefficiently either due to anomalies and/or incorrect usage. To address this problem, we present SocketWatch - an autonomous appliance monitoring system. SocketWatch is positioned between a wall socket and an appliance. SocketWatch learns the behavioral model of the appliance by analyzing its active and reactive power consumption patterns. It detects appliance malfunctions by observing any marked deviations from these patterns. SocketWatch is inexpensive and is easy to use: it neither requires any enhancement to the appliances nor to the power sockets nor any communication infrastructure. Moreover, the decentralized approach avoids communication latency and costs, and preserves data privacy. Real world experiments with multiple appliances indicate that SocketWatch can be an effective and inexpensive solution for reducing electricity wastage. Tanuja Ganu, Dwi A. P. Rahayu, Deva P. Seetharam, Rajesh Kunnath, Ashok Pon Kumar, Vijay Arya, Saiful A. Husain, Shivkumar Kalyanaraman |
PerCom | 2 |
| 2010 | RnR: A System for Extracting Rationale from Online Reviews and Ratings
Dwi A. P. Rahayu, Shonali Krishnaswamy, Cyril Labbé, Oshadi Alahakoon |
ICSOC | 1 |