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Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems.

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/*
 *
 *    Licensed under the Apache License, Version 2.0 (the "License");
 *    you may not use this file except in compliance with the License.
 *    You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 *    Unless required by applicable law or agreed to in writing, software
 *    distributed under the License is distributed on an "AS IS" BASIS,
 *    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *    See the License for the specific language governing permissions and
 *    limitations under the License.
 *    
 *    
 */

package moa.gui.visualization;

/**
 *
 * @author mits
 */
class OutlierEvent implements Comparable {
    public DataPoint point;
    public boolean outlier;
    public Long timestamp;

    public OutlierEvent(DataPoint point, boolean outlier, Long timestamp) {
        this.point = point;
        this.outlier = outlier;
        this.timestamp = timestamp;
    }
    
    @Override
    public int compareTo(OutlierEvent o) { 
        if (this.timestamp > o.timestamp)
            return 1;
        else if (this.timestamp < o.timestamp)
            return -1;
        else {
            if (this.point.timestamp > o.point.timestamp)
                return 1;
            else if (this.point.timestamp < o.point.timestamp)
                return -1;
        }
            
        return 0;
    }

    @Override
    public boolean equals(Object o) {
        return ( (this.timestamp == ((OutlierEvent) o).timestamp) && 
                 (this.point.timestamp == ((OutlierEvent) o).point.timestamp) );
    }
}