Computer Science
Stream Processing
100%
Map-Reduce
95%
Query Processing
83%
Query Performance
71%
Data Stream
66%
Sequence Pattern
59%
Data Streaming
57%
Query Optimization
47%
Data Partitioning
47%
Online Dating
47%
Single Application
47%
Pattern Detection
47%
Materialized View
47%
Processing Algorithm
47%
Time Series Data
35%
Distributed Environment
35%
fault-tolerance
35%
Data-Value
35%
Data Processing
31%
Stream Processing System
28%
Mapreduce Framework
28%
Grand Challenge
23%
Load Balancing
23%
Dynamic Reconfiguration
23%
Query Workload
23%
Postgresql
23%
Parallelization Paradigm
23%
Statistical Information
23%
Outlier Detection
23%
System Availability
23%
Data Processing System
23%
Computation Cost
23%
High Dimensional Data
23%
Lazy Evaluation
23%
Data Stream Processing
23%
Global Skyline
23%
Resource Contention
23%
Distributed Database Systems
23%
Single Machine
23%
Concurrent Processing
23%
Pattern Matching
23%
Graphics Processing Unit
23%
Anonymity
23%
Memory Data Processing
23%
Large Scale Data
19%
Granularity
19%
Optimization Strategy
19%
Partitioning Method
17%
Load Balance
17%
Dynamic Load Balancing
16%
Keyphrases
Distributed Stream Processing Engine
59%
Correlated Failures
47%
Stream Processor
47%
Passive Approach
47%
Parallel Stream Processing
47%
MapReduce
47%
Online Job
47%
Job Hunting
47%
Processing Framework
41%
Skyline
39%
Fault Tolerance
37%
Event Streams
35%
Parallelization
32%
Stream Application
31%
Query Performance
31%
Distributed Framework
28%
Distributed Data Stream Processing
28%
Data Stream Management System
28%
State Migration
23%
Window-based
23%
Failure Recovery
23%
Sequence Pattern
23%
Distributed Stream Processing Systems
23%
Elastic MapReduce
23%
Wide Applicability
23%
Pre-scheduling
23%
Stream Processing Frameworks
23%
Stragglers
23%
Pairwise Learning to Rank
23%
One-class Collaborative Filtering
23%
Patient-Reported Outcomes Measurement Information System (PROMIS)
23%
Pattern Detection
23%
Graph Signal Processing
23%
Multiple Data Streams
23%
SPARQL Query Processing
23%
Adaptive Grid
23%
Accuracy Guarantee
23%
K-median Clustering
23%
K-median
23%
Data Partitioning
23%
Dynamic Reconfiguration
23%
Grand Challenges
23%
MapReduce Workloads
23%
Query Scheduling
23%
Component-based
23%
Outlier Detection
23%
Dynamic Resource Allocation
23%
Sensor Data
23%
Streaming Data
23%
Distributed Information Systems
23%
