Generating representative sample data for data warehouses for testing, benchmarking and presentation purposes, can be seen as a very complex task. For the generation of sample data, it is important to precisely describe the requirements and properties of the data to be represented. We present in...
Generating representative sample data for data warehouses for testing, benchmarking and presentation purposes, can be seen as a very complex task. For the generation of sample data, it is important to precisely describe the requirements and properties of the data to be represented. We present in ...
Data Mining: Practical Machine Learning Tools and Techniques (Google eBook) The third edition of this practical guide to machine learning and data mining is fully updated to account for technological advances since its previous pri... IH Witten,E Frank,MA Hall - 《Acm Sigmod Record》 被引量:...
Optimized Pattern Mining Of Sample Data 来自 Ingenta 喜欢 0 阅读量: 7 作者: Yamini Chowdary Nalamothu 摘要: Data precise is often found in real-world applications due to reasons such as imprecise measurement, outdated sources, or sampling errors. Much research has been published in the area ...
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Pacific-Asia Conference on Knowledge Discovery and Data Mining 2481 Accesses Abstract In recent years, contrastive learning has become an important technology of self-supervised representation learning and achieved SOTA performances in many fields, which has also gained increasing attention in the reinforc...
还有一种情况大家也挺熟悉的,写论文要用模型证明你的结论,结果该死的 数据总是不支持你的结论,那么接下来呢就存在一种套路了,让我的数据“适应” 我的结论,懂我的意思吧,这样得到的结论也是不靠谱的,随便找一组新的数据 进行测试就会露出马脚,这两种情况都属于数据过度挖掘偏差(Data- Mining Bias)有些现象大家...
Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges Biomedical text mining: state-of-the-art, open problems and future challenges. In: Interactive knowledge discovery and data mining in biomedical infor- ... A Holzinger,I Jurisica 被引量: 0发表...
Improper use of the sample data (model training and testing data) may cause overfitting and underfitting effects in the model. The goal of this study is to develop an optimal sampling data usage strategy for any dataset and identify an appropriate number of rules in the regression tree model ...
aThe more and more common storage of multi-parameter data together with environmental data makes the application of “data mining” much more attractive 多参量数据越来越普通存贮与环境数据一起使“数据采集的”应用much more有吸引力[translate]