Discovering Knowledge in Data: An Introduction to Data Mining

By Daniel T. Larose. 2004

705 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/6675560a44a8d2310890780090df7d4ff75ae8bc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Abdullah Bin Gani
2. Klaus-Dieter Thoben
3. Ibrahim Abaker Targio Hashem
4. Ahmad Karim
5. Aisha Siddiqa
6. Christopher Irgens
7. Daniel Weimer
8. Fariza Hanum Binti Md Nasaruddin

In Information Systems

1. Abdullah Bin Gani
2. Ibrahim Abaker Targio Hashem
3. Ahmad Karim
4. Aisha Siddiqa
5. Fariza Hanum Binti Md Nasaruddin
6. Ibrar Yaqoob

Citations in the corpus

• Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges (2017, methodology): “retrieved objects are similar to the predefined category [52].”
• Linear discriminant analysis: A detailed tutorial (2017, neutral): “Dimensionality reduction techniques are important in many applications related to machine learning [15], data mining [6,33], Bioinformatics [47], biometric [61] and information retrieval [73].”
• Machine learning in manufacturing: advantages, challenges, and applications (2016, background): “the availability of large amounts of complex data with little transparency (Smola & Vishwanathan, 2008) and the increased usability and power of available ML tools (Larose, 2005).”