The University of Aizu, Aizu-Wakamatsu, Japan
+81-8048340999

About Software

PAttern MIning (PAMI) is a Python library containing several algorithms to discover useful patterns hidden in various forms of data across a wide-spectrum of computing platforms.

230000

Total Downloads

100+

Algorithms

Python

Language

AWS/Colab/AZURE...

Cloud support

PYPI

Installation

GitHub

Maintenance

Explore More (GitHub)

Why Choose PAMI?

Language

Python

Cloud

AWS, Azure, and GCP

Quality

Well tested

Examples

Plenty

Performance

Snappy

Proficiency Needed

Beginners

Support

Github

Operating System

Independence

Terminal Support

Yes

Cost

Free

Database Types Handled by PAMI

Transactional databases

Transactions contain only items.

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Temporal databases

Transactions contain timestamp and items.

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Utility databases

Databases containing items and their utility values

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Geo-referenced databases

Transactions with static spatial items.

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Sequence databases

Sequences contain an ordered set of transactions.

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Multiple timeseries databases

Timeseries data of multiple items grouped by timestamp.

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Fuzzy databases

Each transaction contains items and their fuzzy membership values.

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Uncertain databases

Each transaction contains items and their uncertainty values. The values lie between 0 and 1.

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Streams

Data arriving at high speeds.

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