Patterns within the data
Patterns in data conversion
... The patterns that are given on the next pages all have their roots in practical experience of data conversion designers working at Quinity, the solutions described in the patterns have been used ...
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Patterns of Data Analysis?
... good Data Analysis. Patterns and a pattern language offer one promising approach, though others may have potential ...practice. Data Analysis tends to involve following up several ideas in parallel ...
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Data Integration Patterns
... The data integration patterns identified in the previous section are helpful when integrating application systems via data ...The patterns were tested in two major companies in the Swiss ...
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Significance of Patterns in Data Visualisations
... visual patterns, as described above, is not statistically valid and requires certain ...visual data exploration, the data analyst typically views the data first and then formulates a ...the ...
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Phenomena and Patterns in Data Sets
... many patterns exhibited by a data set are those that we might regard as corresponding to ...the patterns that data sets exhibit with zero noise or to all patterns that data sets ...
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Analysis of Patterns in Data Mining
... frequent patterns and association rules if A implies B, here A and B are sets of spatial and non-spatial predicates like topological relations, spatial orientations, distances ...rough patterns are mined ...
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Summarizing data with representative patterns
... summarizing data with representa- tive ...of patterns, which is much more concise but still contains rich information of the original data, and may pro- vide valuable insights for further analysis of ...
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T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data
... MERL data for this purpose, as the temporal requirement for the TPattern variants are ...sequenced within-cluster patterns are correct, and any cross-cluster patterns are ...Out-of-sequence ...
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Variability in the air–sea interaction patterns and timescales within the south-eastern Bay of Biscay, as observed by HF radar data
... The new results and the main conclusions obtained from the diagnostic of wind-induced currents in the south-eastern Bay of Biscay can be summarised as follows. In 2009, a HF radar monitoring system was installed on the ...
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Frequent Itemsets Patterns in Data Mining
... their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven ...by data mining move beyond the analyses of past events ...
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Mining risk patterns in medical data
... risk patterns in a large data ...a data set contains 100 abnormal cases and 9900 normal ...all patterns in the abnormal ...skewed data, from our experiences it is still short of solving ...
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Mining Risk Patterns in Medical Data
... risk patterns in a large data ...a data set contains 100 abnormal cases and 9900 normal ...all patterns in the abnormal ...skewed data, from our experiences it is still short of solving ...
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Understanding patterns of aggregation in count data
... quantify patterns of di↵erent parasite species among their hosts and to investigate any changes in these patterns across time, host gen- der, host age and the type of livestock in ...count data, ...
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Finding Spatial Patterns in Network Data
... interesting patterns in network data is an important task for network analysts and managers to recognize and respond to changing conditions quickly; within minutes when ...network data in ...
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Clustering and Visualising Microarray Data Patterns
... expression patterns. Chaussabel and Sher 46 have implemented an approach to combining expression data and large literature resources. They applied clustering methods to define associations between relevant ...
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Analysis Patterns in Dimensional Data Modeling
... Dimensional data models are used for implementing dimensional databases within the data warehouse system, which itself will be used for generating crucial information for ...dimensional data ...
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Patterns for Data Migration Projects
... successful data migration project needs to manage several key challenges that appear in most such projects: First, you don’t know what exactly is in the legacy ...the data migration ...
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Coding and Patterns of Data Streams
... and data compression processes to support Interactive TV, Telecooperation and Hypermedia ...mobile data access that supports web browser, a video player and a speech recognition system is characterized in ...
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Big Data Architecture Patterns
... Frequently, data is not analyzed in one monolithic ...these data sets back into the ingest system ...internallygenerated data. Furthermore, these intermediate data sets become available to ...
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Reusable Data Access Patterns
... Cask Data Application Platform • CDAP is a scale-out application platform for Hadoop and HBase • Enables easy scaling of application components • Combines real-time and batch data processing • Abstracts ...
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