In this approach, patterns in the density are the features of interest. We may be interested in whether the density is multimodal, whether it is skewed, whether there are holes in the density, and so on. The other approach seeks to identify relationships among the variables. The two ...
A data mining technique based on these two conceptual tools consists of three steps. The first step is a statistical approach for discovering data patterns. The second step is an information-theoretic approach for identifying models that encapsulate the statistical behavior of the data patterns. The...
关键词: CiteSeerX citations STING: A Statistical Information Grid Approach to Spatial data Mining W Wang J Yang R R Muntz 会议名称: VLDB'97, Proceedings of 23rd International Conference on Very Large Data Bases, August 25-29, 1997, Athens, Greece ...
Salzberg, S.L.: On comparing classifiers: Pitfalls to avoid and a recommended approach. Data Min. Knowl. Discov. 1(3), 317–328 (1997) Article Google Scholar Shaffer, J.P.: Multiple hypothesis testing. Annu. Rev. Psychol. 46(1), 561–584 (1995) Article Google Scholar Sheskin, D...
that the best approach is to focus on the industrial statistics audience to foster an appreciation of control engineering (as opposed to focusing on control en- gineers to develop their statistical appreciation). With that in mind, I believe ...
approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised ...
When studying robustness (Hampel, 1974) uses a mixture-based contamination model, (1−ϵ)f(x) + ϵδ(x), where δ(x) is the point mass at x and ϵ∈ [0, 1], in the construction of the influence function. This approach explores the complexity of the infinite-dimensional ...
T. Bayesian approach to single-cell differential expression analysis. Nat. Methods 11, 740–742 (2014). CAS PubMed PubMed Central Google Scholar Chen, W. et al. Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome. Commun. ...
With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and....
Returning now to the classification problem, in the case when the two data classes of interest are not separable, the procedure of training the SVM requires a little modification. The basic approach is to add slack variables ξi for the non-separable data such that (147)D(x̲k)=yk〈w...