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- Publications
- Influence

Fast Discovery of Association Rules

- R. Agrawal, H. Mannila, R. Srikant, Hannu (TT) Toivonen, A. I. Verkamo
- Computer Science
- Advances in Knowledge Discovery and Data Mining
- 1 February 1996

- 2,640
- 257

Principles of Data Mining

- D. Hand, H. Mannila, Padhraic Smyth
- Computer Science, Medicine
- Drug safety
- 2007

Data mining is the discovery of interesting, unexpected or valuable structures in large datasets. As such, it has two rather different aspects. One of these concerns large-scale, ‘global’ structures,… Expand

Discovery of Frequent Episodes in Event Sequences

- H. Mannila, Hannu (TT) Toivonen, A. I. Verkamo
- Computer Science
- Data Mining and Knowledge Discovery
- 31 January 1997

Sequences of events describing the behavior and actions of users or systems can be collected in several domains. An episode is a collection of events that occur relatively close to each other in a… Expand

Random projection in dimensionality reduction: applications to image and text data

- E. Bingham, H. Mannila
- Computer Science
- KDD '01
- 26 August 2001

Random projections have recently emerged as a powerful method for dimensionality reduction. Theoretical results indicate that the method preserves distances quite nicely; however, empirical results… Expand

Levelwise Search and Borders of Theories in Knowledge Discovery

- H. Mannila, Hannu (TT) Toivonen
- Computer Science
- Data Mining and Knowledge Discovery
- 31 January 1997

AbstractOne of the basic problems in knowledge discovery in databases (KDD) is the following: given a data set r, a class L of sentences for defining subgroups of r, and a selection predicate, find… Expand

Discovering Frequent Episodes in Sequences

- H. Mannila, Hannu (TT) Toivonen, A. I. Verkamo
- Computer Science
- KDD
- 1995

Sequences of events describing the behavior and actions of users or systems can be collected in several domains. In this paper we consider the problem of recognizing frequent episodes in such… Expand

Rule Discovery from Time Series

- G. Das, K. Lin, H. Mannila, G. Renganathan, Padhraic Smyth
- Computer Science
- KDD
- 27 August 1998

We consider the problem of finding rules relating patterns in a time series to other patterns in that series, or patterns in one series to patterns in another series. A simple example is a rule such… Expand

Discovering Generalized Episodes Using Minimal Occurrences

- H. Mannila, Hannu (TT) Toivonen
- Computer Science
- KDD
- 2 August 1996

Sequences of events are an important special form of data that arises in several contexts, including telecommunications, user interface studies, and epidemiology. We present a general and flexible… Expand

Computing Discrete Fréchet Distance ∗

- Thomas Eiter, H. Mannila
- 1994

The Fréchet distance between two curves in a metric space is a measure of the similarity between the curves. We present a discrete variation of this measure. It provides good approximations of the… Expand

- 329
- 43

The Discrete Basis Problem

- P. Miettinen, Taneli Mielikäinen, A. Gionis, G. Das, H. Mannila
- Computer Science
- IEEE Transactions on Knowledge and Data…
- 18 September 2006

Matrix decomposition methods represent a data matrix as a product of two factor matrices: one containing basis vectors that represent meaningful concepts in the data, and another describing how the… Expand