Solving Complex Machine Learning Problems with Ensemble Methods
... methods before learning component classifiers or embedding the cost-sensitive framework in the ensemble learning process, see their review in [5]. Although several specialized ensembles have been presented as adequate to class imbalance, there is still lack of their general comparison or discussion ...
... methods before learning component classifiers or embedding the cost-sensitive framework in the ensemble learning process, see their review in [5]. Although several specialized ensembles have been presented as adequate to class imbalance, there is still lack of their general comparison or discussion ...
doc - Dr. Richard Frost
... properties such as frequencies and time stamp. It also shows if sequences belong to same session. The last phase, the posteriori phase, filters based on the navigation template and network topology. This is then followed by pruning hits that, though have required support threshold, are not maximal. ...
... properties such as frequencies and time stamp. It also shows if sequences belong to same session. The last phase, the posteriori phase, filters based on the navigation template and network topology. This is then followed by pruning hits that, though have required support threshold, are not maximal. ...
Machine Learning Based Data Pre-processing for
... communication with many people, who have provided valuable input to my studies. First of all, I would like to thank my supervisor Dr. Darryl N Davis for giving in valuable feedback and advice during my work. His engagement and knowledge have inspired me a lot. I would also like to thank Dr. Chandras ...
... communication with many people, who have provided valuable input to my studies. First of all, I would like to thank my supervisor Dr. Darryl N Davis for giving in valuable feedback and advice during my work. His engagement and knowledge have inspired me a lot. I would also like to thank Dr. Chandras ...
Supervised Local Pattern Discovery
... recruiting practices (Bay and Pazzani, 2001). Rather than trying to build a model which could be used to predict the behavior of a certain example, local patterns have been used to describe examples and build knowledge with the experts that work in student recruiting or marketing or other branches, ...
... recruiting practices (Bay and Pazzani, 2001). Rather than trying to build a model which could be used to predict the behavior of a certain example, local patterns have been used to describe examples and build knowledge with the experts that work in student recruiting or marketing or other branches, ...
ICDM06.metaclust.caruana.pdf
... is described by a vector of features, and each dimension in the vector is a feature that will be used when calculating the similarity of points for clustering. By weighting features before distances are calculated (i.e. multiplying feature values by particular scalars), we can control the importance ...
... is described by a vector of features, and each dimension in the vector is a feature that will be used when calculating the similarity of points for clustering. By weighting features before distances are calculated (i.e. multiplying feature values by particular scalars), we can control the importance ...
Mining frequent item sets without candidate generation using
... search space were proposed. The experimental results reported in showed that CLOSET is faster than CHARM and A-close. CLOSET was extended to CLOSET+ by Wang et al. in to find the best strategies for mining frequent closed item sets. CLOSET+ uses data structures and data traversal strategies that dep ...
... search space were proposed. The experimental results reported in showed that CLOSET is faster than CHARM and A-close. CLOSET was extended to CLOSET+ by Wang et al. in to find the best strategies for mining frequent closed item sets. CLOSET+ uses data structures and data traversal strategies that dep ...
A Improved Incremental and Interactive Frequent Pattern Mining
... Objectives: To develop a memory efficient, incremental and interactive distributed FPM having less communication and synchronization overhead with good load balancing capability, to analyze the dynamic transactional data in a distributed database. Methods/Analysis: This technique adopts prefix based ...
... Objectives: To develop a memory efficient, incremental and interactive distributed FPM having less communication and synchronization overhead with good load balancing capability, to analyze the dynamic transactional data in a distributed database. Methods/Analysis: This technique adopts prefix based ...
Extracting Temporal Patterns from Interval-Based Sequences
... intervals associated to events in patterns. Experiments on simulated data show that our algorithm is efficient for extracting precise patterns even in noisy contexts and that it improves the performance of a former algorithm which used a clustering method based on the EM algorithm. ...
... intervals associated to events in patterns. Experiments on simulated data show that our algorithm is efficient for extracting precise patterns even in noisy contexts and that it improves the performance of a former algorithm which used a clustering method based on the EM algorithm. ...
Multi-threaded Implementation of Association Rule Mining with
... Most Associated Sequential Pattern (MASP) is a name given to the variant of the association rule mining algorithm [7]. This approach is used to find the most associated sequential patterns and also generate the datasets that contain the transactions. These transactions can be further mined to find t ...
... Most Associated Sequential Pattern (MASP) is a name given to the variant of the association rule mining algorithm [7]. This approach is used to find the most associated sequential patterns and also generate the datasets that contain the transactions. These transactions can be further mined to find t ...
EHRs - Medical informatics at Mayo Clinic
... • Mission: To enable the use of EHR data for secondary purposes, such as clinical research and public health. Leveraging clinical and health informatics to: • generate new knowledge • improve care ...
... • Mission: To enable the use of EHR data for secondary purposes, such as clinical research and public health. Leveraging clinical and health informatics to: • generate new knowledge • improve care ...
Boris Mirkin Clustering: A Data Recovery Approach
... invented with virtually no support to a non-specialist user for choosing among them. The trouble with this is that different similarity measures and/or clustering techniques may, and frequently do, lead to different results. Moreover, the same technique may also lead to different cluster solutions d ...
... invented with virtually no support to a non-specialist user for choosing among them. The trouble with this is that different similarity measures and/or clustering techniques may, and frequently do, lead to different results. Moreover, the same technique may also lead to different cluster solutions d ...
Parallel Itemset Mining in Massively Distributed Environments
... We propose ODPR (Optimal Data-Process Relationship) our solution for fast mining of frequent itemsets in MapReduce. Our method allows discovering itemsets from massive data sets, where standard solutions from the literature do not scale. Indeed, in a massively distributed environment, the arrangemen ...
... We propose ODPR (Optimal Data-Process Relationship) our solution for fast mining of frequent itemsets in MapReduce. Our method allows discovering itemsets from massive data sets, where standard solutions from the literature do not scale. Indeed, in a massively distributed environment, the arrangemen ...
Here - IEEE SSCI 2015
... Tuesday, December 8, 15:20–17:20 . . CICA’15 Session 2 . . . . . . . . CIVTS’15 Session 2 . . . . . . . CICS’15 Session 2 . . . . . . . . Wednesday, December 9, 09:50–12:20 CIBD’15 Session 1 . . . . . . . . ADPRL’15 Session 1 . . . . . . . IntECS’15 Session 1 . . . . . . . CIASG’15 Session 1 . . . . ...
... Tuesday, December 8, 15:20–17:20 . . CICA’15 Session 2 . . . . . . . . CIVTS’15 Session 2 . . . . . . . CICS’15 Session 2 . . . . . . . . Wednesday, December 9, 09:50–12:20 CIBD’15 Session 1 . . . . . . . . ADPRL’15 Session 1 . . . . . . . IntECS’15 Session 1 . . . . . . . CIASG’15 Session 1 . . . . ...
evolving biologically inspired trading algorithms - BADA
... One group of information systems that have attracted a lot of attention during the past decade are financial information systems, especially systems pertaining to financial markets and electronic trading. Delivering accurate and timely information to traders substantially increases their chances of ...
... One group of information systems that have attracted a lot of attention during the past decade are financial information systems, especially systems pertaining to financial markets and electronic trading. Delivering accurate and timely information to traders substantially increases their chances of ...
