Classification based Large Scale Population Estimation Mining
Large-scale data mining analytics based on MapReduce
... that classification and regression mining algorithms based on decision tree models is particularly interesting for our work due to the current organisational needs of the institute and also due to ...
99
A visual mining based fame work for classification accuracy estimation
... Framework for effective analysis and visualisation of training sets has been developed in Java using WEKA and PREFUSE. WEKA has been used for analysing clas- sification results and PREFUSE for effective visualisation. ...
6
Asthma and Injury Risk: A Large Scale Population Based Study
... Defining injuries and poisoning: The NHISs recorded every reported injury which occurred in the three-month period prior to the interview and required a medical con- sultation (i.e. call to a poison control center; use ...
6
Large Scale Classification Based on Combination of Parallel SVM and Interpolative MDS
... the large scale dataset is a very important issue. Data mining is just to take on the ...powerful classification and regression tools of data ...to large scale data ...
8
Population estimation mining from satellite imagery
... tion estimation using satellite imagery” application ...data mining techniques, more specifically image mining tech- niques, for the purpose of population estimation using satellite ...
188
Learning Taxonomy Adaptation in Large-scale Classification
... second, based on minimizing the Rademacher-based generalization error bound (PR-B) as given in Section ...third, based on meta-learning (PR-M) as described in Section 5, and (iv) fourth, based ...
37
A Method for Large Scale IPTV Quality Estimation
... perform mining analysis with present collected data rather than obtain video frames one by one from each clients to perform quality analysis to a content ...method based on data ...
8
Mining large-scale smartphone data for personality studies
... a large population. We also devise an auto- matic classification method, using supervised learning to classify users according to the Big-Five ...
18
Association Rules Mining: Application to Large-Scale Satisfiability
... BSO is based on a population of artificial bees cooperating together to solve an instance of an optimization problem. The general algorithm of BSO is illustrated in Figure 1. In line 2, an initial solution ...
6
Mining Large-Scale Smartphone Data for Personality Studies
... Based on ”Whos who with Big-Five: Analyzing and Classifying Personality Traits with Smartphones” by Gokul Chittaranjan, Jan Blom and Daniel Gatica-Perez which appeared in the Proceedings of the International ...
18
Attribute-based learning for large scale object classification
... the trained classifiers are applied on a test image to predict its class label based on the learned attribute representations.. In order to reduce test-time complexity, a number of attri[r] ...
7
Large-Scale Test Mining
... Hadoop automatically distributes blocks of data to slave nodes and then lines of text to Maps Hadoop. automatically distributes blocks of data to slave nodes and then lines of [r] ...
20
Large scale online kernel classification
... kernel classification is that an online learner usually has to main- tain in memory a set of support vectors for representing the kernel-based predictive ...a large-scale on- line learning ...
8
Large Scale Translation Quality Estimation
... For future work, we plan to extend the testing with various annotators in order to acquire reasonable testing datasets for the language pairs under study. We will add extra features to the QuEst baseline based on ...
8
A classification based framework for quantitative description of large scale microarray data
... By applying this method to a set of experimental conditions, we were able to validate several beliefs regarding physiologi- cal responses to certain stimuli, as well as to discover new trends. For example, cells under ...
17
Large scale biomedical texts classification: a kNN and an ESA-based approaches
... two classification methods: a k-nearest neighbours (kNN)-based approach and an explicit semantic analysis (ESA)-based ...text classification, it needs to be improved to perform well in this ...
12
A Comparison of Approaches for Large-Scale Data Mining
... The main idea of this framework is to utilize the MapReduce technique to continuously adjust the sampled data and the size of the sampling until we produce a good data mining model. In figure 6, you can see, the ...
9
Mining and Managing Large-Scale Temporal Graphs
... causality mining techniques, as well as existing knowledge bases on event causality scenarios [59] serve as preprocessing in our critical causal mining ...over large-scale alert sequences in ...
253
Mining Large-Scale Music Data Sets
... 1M pop songs 250 GB of features (6 years of listening) • Many facets: Features, Lyrics, Tags, Covers, Listeners ... http://labrosa.ee.columbia.edu/millionsong Thierry Bertin-Mahieux.[r] ...
15
Recent Advances of Large-Scale. linear classification.
... Bagging [124] is a popular classification method to split a learning task to several easier ones. It selects several random subsets, trains each of them, and ensembles (e.g., averaging) the results during testing. ...
20