More than twelve years have elapsed since the first public release of WEKA. In that time, the software has been rewritten entirely from scratch, evolved substantially and now accompanies a text on data mining [35]. These days, WEKA enjoys widespread acceptance in both academia and business, has an active community, and has been downloaded more…
ACM SIGKDD Explorations Newsletter Template
Write in a clean editor, then format for ACM SIGKDD Explorations Newsletter in one click — DocuGuru applies the official ACM template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the ACM SIGKDD Explorations Newsletter format
ACM SIGKDD Explorations Newsletter is a peer-reviewed journal published by ACM, covering Data Mining Algorithms and Applications, Data Management and Algorithms, Web Data Mining and Analysis.
| Publisher | ACM |
|---|---|
| Reference style | Numbered (ACM) Numbered — [1], [2] in the text [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM SIGKDD Explorations Newsletter 12, 3, Article 45 (2023).
Formats any DOI in ACM SIGKDD Explorations Newsletter style. No sign-up. |
| Publishes research in | Data Mining Algorithms and Applications Data Management and Algorithms Web Data Mining and Analysis Complex Network Analysis Techniques Rough Sets and Fuzzy Logic |
| ISSN | 1931-0145 |
| Citation impact (2-yr) | 9.79 |
| h-index | 106 |
| i10-index | 361 |
| Total citations | 79,583 |
| Top institutions publishing here | Arizona State University |
| Journal website | www.acm.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in ACM SIGKDD Explorations Newsletter per year
Citation impact of ACM SIGKDD Explorations Newsletter by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in ACM SIGKDD Explorations Newsletter
There are several aspects that might influence the performance achieved by existing learning systems. It has been reported that one of these aspects is related to class imbalance in which examples in training data belonging to one class heavily outnumber the examples in the other class. In this situation, which is found in real world…
Social media for news consumption is a double-edged sword. On the one hand, its low cost, easy access, and rapid dissemination of information lead people to seek out and consume news from social media. On the other hand, it enables the wide spread of \fake news", i.e., low quality news with intentionally false information. The…
Mobile devices are becoming increasingly sophisticated and the latest generation of smart cell phones now incorporates many diverse and powerful sensors. These sensors include GPS sensors, vision sensors (i.e., cameras), audio sensors (i.e., microphones), light sensors, temperature sensors, direction sensors (i.e., magnetic compasses), and acceleration sensors (i.e., accelerometers). The availability of these sensors in mass-marketed…
Web usage mining is the application of data mining techniques to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Web usage mining consists of three phases, namely preprocessing, pattern discovery , and pattern analysis . This paper describes each of these phases in detail. Given…