Esfandiar Amirrahimi esfand-r

## gist:7690e92334daacb99f9b

      
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                esfand-r
                / gist:7690e92334daacb99f9b
            
            
              Created
              October 22, 2015 16:33
                — forked from debasishg/gist:8172796
            
              
                A collection of links for streaming algorithms and data structures
              
          
General Background and Overview


Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
Models and Issues in Data Stream Systems
Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&amp;rep


## DragVM.java
package org.zkoss.mvvm.examples.duallistbox;

import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Set;

import org.zkoss.bind.annotation.BindingParam;
import org.zkoss.bind.annotation.Command;
import org.zkoss.bind.annotation.NotifyChange;
	package org.zkoss.mvvm.examples.duallistbox;

	import java.util.ArrayList;
	import java.util.HashSet;
	import java.util.List;
	import java.util.Set;

	import org.zkoss.bind.annotation.BindingParam;
	import org.zkoss.bind.annotation.Command;
	import org.zkoss.bind.annotation.NotifyChange;