Papers on Mapreduce & Hadoop in Data Mining / Machine Learning

Selected academic / research papers using Mapreduce & Hadoop

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This posting is from Atbrox, a startup company providing technology and services for Search and Mapreduce/Hadoop.

Here are selected Mapreduce & Hadoop papers in the area of data mining

Ads Analysis

• Improving ad relevance in sponsored search
• Predicting the Click-Through Rate for Rare/New Ads
• Learning Influence Probabilities in Social Networks
• Mining advertiser-specific user behavior using adfactors
• Extracting user profiles from large scale data

Artificial Intelligence/Machine Learning/Data Mining

• LogMaster: Mining Event Correlations in Logs of Large Scale Cluster Systems
• Stateful Bulk Processing for Incremental Analytics
• Mining dependency in distributed systems through unstructured logs analysis
• Beyond online aggregation: parallel and incremental data mining with online mapreduce
• Stochastic gradient boosted distributed decision trees
• Distributed Algorithms for Topic Models
• Cloud Computing Boosts Business Intelligence of Telecommunication Industry
• Parallel K-Means Clustering Based on MapReduce

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The most read papers were:

1. MapReduce-Based Pattern Finding Algorithm Applied in Motif Detection for Prescription Compatibility Network
2. Data-intensive text processing with Mapreduce
3. Large-Scale Behavioral Targeting
4. Improving Ad Relevance in Sponsored Search
5. Experiences on Processing Spatial Data with MapReduce

Here are more Statistics on Hadoop and Mapreduce Algorithm Papers