Pervasive

Browse by Tags

• accuracy
• accurate
• ACM
• building block of predictive analytics
• clustering
• co-clustering algorithm
• colaborative filtering
• collaborative filter
• collaborative filtering
• data mining
• dataflow
• DataRush engine
• Datarush team
• information extraction
• java
• KDD
• KDDCup
• knowledge discovery
• Multicore
• Netflix data
• Netflix Prize
• parallel data mining
• parallel processing
• performance
• Pervasive
• Pervasive DataRush
• Predictive Analytics
• recommender
• RMSE
• SIGKDD
• stemmer
• stopword
• text mining
• tokenizer
• WordNet
• Zipfian
• Zipf's law

• The Building Block of Predictive Analytics

  We are evolving our Pervasive DataRush (PDR) platform to deliver a building block of predictive analytics: a collaborative filter . Business gurus know that understanding customer behavior can only benefit a company, and proper predictive analytics will... Posted Sep 23 2009, 03:07 PM by livey with | with no comments Filed under: Predictive Analytics, Netflix, building block of predictive analytics, co-clustering algorithm, DataRush engine, collaborative filtering

• Text Mining to extract content from Netflix Prize Movie Titles

  We recently published a recommender system built on collaborative filtering principles. While collaborative filtering proved effective in predicting ratings of movies by users based on historical community movie ratings, we would like to consider a content... Posted Sep 22 2009, 04:34 PM by n5712036 with | with no comments Filed under: Predictive Analytics, Pervasive DataRush, Multicore, parallel processing, Netflix, Netflix data, Netflix Prize, collaborative filter, data mining, knowledge discovery, KDD, dataflow, parallel data mining, SIGKDD, recommender, Zipfian, stopword, WordNet, information extraction, tokenizer, Zipf's law, text mining, stemmer

• How Accurate is Your Performance?

  Following up on our submission to the Netflix Challenge , the DataRush team is improving on our entry and tuning our Collaborative Filter into an application that you can use for your own "recommender" system. Netflix offered a hefty million... Posted Aug 21 2009, 03:48 PM by livey with | with no comments Filed under: Pervasive DataRush, performance, Netflix, Datarush team, Netflix data, Netflix Prize, accurate, accuracy, collaborative filter

• Just returned from KDD’09 conference

  The Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’09) in Paris, France was last week. The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia... Posted Jul 13 2009, 11:26 AM by n5712036 with Filed under: Netflix, data mining, clustering, KDD, dataflow, RMSE, java, parallel data mining, KDDCup, colaborative filtering, SIGKDD, ACM, recommender, Pervasive