◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

W. Hämäläinen

2 papers hereh-index 161k citations41 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.IR1

identity via Semantic Scholar / OpenAlex

most citedSpecious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining

5 citations · 5 across the 1 of their papers we have counts for

collaborators

2 papers

cs.IR2018

Clustering students' open-ended questionnaire answers

Wilhelmiina Hämäläinen, Mike Joy, Florian Berger +1

Open responses form a rich but underused source of information in educational data mining and intelligent tutoring systems. One of the major obstacles is the difficulty of clusteri…

cs.AI2017★ 5 cited

Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining

Wilhelmiina Hämäläinen, Geoffrey I. Webb

We present theoretical analysis and a suite of tests and procedures for addressing a broad class of redundant and misleading association rules we call \emph{specious rules}. Specio…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.