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Abstract: There is a growing need for pattern analysis algorithms on datasets to extract and analyses information. As datasets grow in size for applications such as topic modeling, recommender systems ...

Pattern mining is one of the most important tasks to extract meaningful and useful information from raw data. This task aims to extract item-sets that represent any type of homogeneity and regularity ...

This document captures a sophisticated cascading MapReduce pattern discovered in a CouchDB-based time-series aggregation system. The pattern enables efficient multi-dimensional aggregation across ...

When your data and work grow, and you still want to produce results in a timely manner, you start to think big. Your one beefy server reaches its limits. You need a way to spread your work across many ...

The USPTO awarded search giant Google a software method patent that covers the principle of distributed MapReduce, a strategy for parallel processing that is used by the search giant. If Google ...

.. data:: online systems AKA services - e.g. KVSes, web servers, databases, caches, etc. These services wait for requests to arrive from clients, and then handle them quickly. Low latency and ...