Mining approximate top-K subspace anomalies in multi-dimensional time-series data

Keyphrases

• Anomaly Detection 100%
• Time Series Data 100%
• Data Cube 100%
• Multidimensional Time-series Data 100%
• Market Segments 66%
• Computational Challenges 33%
• Search Algorithm 33%
• Multidimensional Structure 33%
• Income Level 33%
• Efficient Search 33%
• Gender Education 33%
• Multidimensional Space 33%
• Market Dynamics 33%
• Detecting Anomalies 33%
• High-dimensional Space 33%
• Market Analysis 33%
• Product Category 33%
• Attribute Structure 33%
• Anomaly-based 33%
• Numerical Measures 33%
• Timeseries Data 33%
• World Data 33%
• General Time 33%

Computer Science

• Time Series Data 100%
• Data Cube 60%
• Anomaly Detection 40%
• Large Data Set 20%
• Dimensional Structure 20%
• Analysis Process 20%
• Multidimensional Space 20%
• Searching Algorithm 20%
• Detect Anomaly 20%
• Product Category 20%
• Data Processing 20%
• High Dimensional Space 20%
• Education 20%