Keogh, Querying and mining of time series data: Experimental comparison of representations and distance measures, Proceedings of the VLDB Endowment 1 (2008), 1542-1552.Ding H, Trajcevski G, Scheuermann P, Wang X, Keogh E. Querying and Mining of Time Series Data: Experimental Comparison of ...
Querying and mining of time series data: experimental comparison of representations and distance measures Scalable Information-Driven Sensor Querying and Routing for Ad Hoc Heterogeneous Sensor Networks Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying...
Indexing is crucial for many data mining tasks that rely on efficient and effective similarity query processing. Consequently, indexing large volumes of time series, along with high performance similarity query processing, have became topics of high interest. For many applications across diverse domains...
Beginning in SQL Server 2008 Enterprise, you can add new data to a time series model and automatically incorporate the new data into the model. You add new data to a time series mining model in one of two ways: Use a PREDICTION JOIN to join data in an external source to the training ...
关键词: CiteSeerX citations Using Signature Files for Querying Time-Series Data Henrik Andre-Jonsson Dushan Z. Badal 会议名称: Principles of Data Mining and Knowledge Discovery, First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997, Proceedings ...
By querying the data mining schema rowset, you can find various kinds of information about the model, including basic metadata, the date and time that the model was created and last processed, the name of the mining structure that the model is based on, and the column used as the predicta...
Graph querying, graph motif mining and the discove 优质文献 相似文献 参考文献 引证文献Visually mining and monitoring massive time series Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, ......
This section describes the types of queries that you can create, and the information that each type of query provides. This section also includes examples of queries for specific types of data mining models. Prediction Queries Singleton Prediction Queries Batch Prediction Queries Time Series Predict...
of RDF graphs, it is even possible to efficiently handle and manage data in computers' main memory. Larger RDF graphs render the deployment of persistent storage systems indispensable. RDF stores that make use of purpose-built databases for the storage and retrieval of any kind of data expressed...
Second, the analysis of runs requires a specification to have a well-defined semantics. Unfortunately, BPEL is not based on a formal model [12]. To avoid these obstacles and guarantee complexity that is polynomial in the size of the data, BP-QL ignores the run-time semantics of certain ...