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Sequence mining is one of the fundamental data mining tasks.
The rapid development of social networking sites brings about many data mining tasks and novel challenges.
Data mining tasks were invoked to tackle this problem in order to extract the interesting knowledge.
The article demonstrates the capabilities of Anticipatory Classifier System in solving the data mining tasks.
Some books do focus on the challenges of performing data mining tasks.
The resulting mapping methodology sets a standard for a variety of spatial data mining tasks.
We first review the challenges and opportunities of data mining tasks using crowdsourcing, and summarize the framework of them.
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However, DFT calculations are still too computationally expensive (and difficult to automate) for increasingly common data-mining tasks involving thousands/millions of structures, which shall be performed on single workstations or small clusters in time scales of up to a few hours.
Jung, K. et al. Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.
Data normalization makes the results of data-mining tasks more accurate.
The applicability of DTW is not only in pattern discovery by similarity search over time-series data, but also in other time-series data-mining tasks such as classification [8] and clustering [9].
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