Demo Data from EDBT 2026 / reviewers in the wild / expert
Abhinav Khattar
dblp:213/8221
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging 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.
| Artificial intelligence
1 paper |
Graph learning · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Data mining · 100% | |
| Network and information security
1 paper |
Web and mobile security · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Graph learning
graph neural network |
0.3 | 1 | 2018 | Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach · WWW 2018 |
Data mining › anomaly detection
spam detection |
0.3 | 1 | 2018 | Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach · WWW 2018 |
Web and mobile security
online social network abuse |
0.1 | 1 | 2018 | Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach · WWW 2018 |
Methods — techniques the papers use, named apart from their topics
meta-path · 1.0collective classification · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based ApproachabstractCybercriminals have leveraged the popularity of a large user base available on Online Social Networks~(OSNs) to spread spam campaigns by propagating phishing URLs, attaching malicious contents, etc. However, another kind of spam attacks using phone numbers has recently become prevalent on OSNs, where spammers advertise phone numbers to attract users» attention and convince them to make a call to these phone numbers. The dynamics of phone number based spam is different from URL-based spam due to an inherent trust associated with a phone number. While previous work has proposed strategies to mitigate URL-based spam attacks, phone number based spam attacks have received less attention. Srishti Gupta 0003, Abhinav Khattar, Arpit Gogia, Ponnurangam Kumaraguru, Tanmoy Chakraborty 0002 |
WWW | 2 |