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  1. Engineering & Technology
  2. Computer Science
  3. Data Mining
Mining Naturally-occurring Corrections and - WiCoPaCo
Mining Naturally-occurring Corrections and - WiCoPaCo
Mining Multiple Private Databases Using a kNN Classifier Li Xiong
Mining Multiple Private Databases Using a kNN Classifier Li Xiong
Mining meaning from Wikipedia - Department of Computer Science
Mining meaning from Wikipedia - Department of Computer Science
Mining Maximal Frequent Itemsets by a Boolean Based Approach
Mining Maximal Frequent Itemsets by a Boolean Based Approach
Mining Massive Relational Databases
Mining Massive Relational Databases
Mining Massive Datasets
Mining Massive Datasets
Mining Massive Datasets
Mining Massive Datasets
Mining Massive Datasets
Mining Massive Datasets
Mining malicious behaviours by Prof. Somesh Jha, University
Mining malicious behaviours by Prof. Somesh Jha, University
Mining Latent Entity Structures
Mining Latent Entity Structures
Mining Latent Entity Structures
Mining Latent Entity Structures
Mining Large Graphs: Algorithms, Inference, and Discoveries U Kang , Duen Horng Chau
Mining Large Graphs: Algorithms, Inference, and Discoveries U Kang , Duen Horng Chau
Mining Interesting Rules in Bank Loans Data
Mining Interesting Rules in Bank Loans Data
Mining Interesting Knowledge from - UIC
Mining Interesting Knowledge from - UIC
Mining Influenced Waters - CLU-IN
Mining Influenced Waters - CLU-IN
Mining High Speed Data Streams - Computer Science
Mining High Speed Data Streams - Computer Science
Mining high dimensional data
Mining high dimensional data
Mining Hierarchical Pathology Data using Inductive Logic
Mining Hierarchical Pathology Data using Inductive Logic
Mining Hidden Mixture Context With ADIOS-P To Improve Predictive Pre-fetcher Accuracy
Mining Hidden Mixture Context With ADIOS-P To Improve Predictive Pre-fetcher Accuracy
Mining Heterogeneous Transformations for Record Linkage
Mining Heterogeneous Transformations for Record Linkage
Mining Frequent Trajectory Patterns for Activity Monitoring Using
Mining Frequent Trajectory Patterns for Activity Monitoring Using
Mining Frequent Patterns in Data Streams at Multiple Time
Mining Frequent Patterns in Data Streams at Multiple Time
Mining Frequent Patterns from Very High Dimensional Data: A Top
Mining Frequent Patterns from Very High Dimensional Data: A Top
Mining Frequent Item and Item Sets Using Fuzzy Slices
Mining Frequent Item and Item Sets Using Fuzzy Slices