SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Access path selection in a relational database management system
SIGMOD '79 Proceedings of the 1979 ACM SIGMOD international conference on Management of data
Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications
Data Mining and Knowledge Discovery
Online Data Mining for Co-Evolving Time Sequences
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining
IEEE Transactions on Knowledge and Data Engineering
Critical event prediction for proactive management in large-scale computer clusters
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
A Comprehensive Model for Software Rejuvenation
IEEE Transactions on Dependable and Secure Computing
Short term performance forecasting in enterprise systems
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Adaptive query processing in data stream management systems
Adaptive query processing in data stream management systems
MauveDB: supporting model-based user views in database systems
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
An empirical comparison of supervised learning algorithms
ICML '06 Proceedings of the 23rd international conference on Machine learning
The CQL continuous query language: semantic foundations and query execution
The VLDB Journal — The International Journal on Very Large Data Bases
ACM SIGCOMM Computer Communication Review
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
StatStream: statistical monitoring of thousands of data streams in real time
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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Efficient probabilistic event stream processing with lineage and Kleene-plus
International Journal of Communication Networks and Distributed Systems
Large-scale uncertainty management systems: learning and exploiting your data
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Data Stream Prediction Using Incremental Hidden Markov Models
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Empirical comparison of techniques for automated failure diagnosis
SysML'08 Proceedings of the Third conference on Tackling computer systems problems with machine learning techniques
Indexing forecast models for matching and maintenance
Proceedings of the Fourteenth International Database Engineering & Applications Symposium
Database-support for continuous prediction queries over streaming data
Proceedings of the VLDB Endowment
Context-aware parameter estimation for forecast models in the energy domain
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Efficient in-database maintenance of ARIMA models
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Embedding forecast operators in databases
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Sample-based forecasting exploiting hierarchical time series
Proceedings of the 16th International Database Engineering & Applications Sysmposium
Optimizing notifications of subscription-based forecast queries
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
Efficient integration of external information into forecast models from the energy domain
ADBIS'12 Proceedings of the 16th East European conference on Advances in Databases and Information Systems
pEDM: online-forecasting for smart energy analytics
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Forecasting future events based on historic data is useful in many domains like system management, adaptive query processing, environmental monitoring, and financial planning. We describe the Fa system where users and applications can pose declarative forecasting queries---both one-time queries and continuous queries---and get forecasts in real-time along with accuracy estimates. Fa supports efficient algorithms to generate execution plans automatically for forecasting queries from a novel plan space comprising operators for transforming data, learning statistical models from data, and doing inference using the learned models. In addition, Fa supports adaptive query-processing algorithms that adapt plans for continuous forecasting queries to the time-varying properties of input data streams. We report an extensive experimental evaluation of Fa using synthetic datasets, datasets collected on a testbed, and two real datasets from production settings. Our experiments give interesting insights on plans for forecasting queries, and demonstrate the effectiveness and scalability of our plan-selection algorithms.