Transactions on Large-Scale Data- and Knowledge-Centered Systems VIII
Special Issue on Advances in Data Warehousing and Knowledge Discovery, Lecture N
Küng, Josef / Wagner et al, Roland
Erscheinungsjahr:
2013
Beschreibung
InhaltsangabeETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce.- The Planning OLAP Model - A Multidimensional Model with Planning Support.- Query Optimization for the NOX OLAP Algebra.- Finding Critical Thresholds for Defining Bursts in Event Logs.- Concurrent Semi-supervised Learning with Active Learning of Data Streams.- Efficient Single Pass Ordered Incremental Pattern Mining.- Finding Interesting Rare Association Rules Using Rare Pattern Tree.- Discovering Frequent Patterns from Uncertain Data Streams with Time-Fading and Landmark Models.
Autorenportrait
InhaltsangabeETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce.- The Planning OLAP Model - A Multidimensional Model with Planning Support.- Query Optimization for the NOX OLAP Algebra.- Finding Critical Thresholds for Defining Bursts in Event Logs.- Concurrent Semi-supervised Learning with Active Learning of Data Streams.- Efficient Single Pass Ordered Incremental Pattern Mining.- Finding Interesting Rare Association Rules Using Rare Pattern Tree.- Discovering Frequent Patterns from Uncertain Data Streams with Time-Fading and Landmark Models.
