Titlebook: Analysing Web Traffic; A Case Study on Arti Agnieszka Jastrz?bska,Jan W. Owsiński,Tomasz Zwier Book 2023 The Editor(s) (if applicable) and

ACE313

書目名稱Analysing Web Traffic影響因子(影響力)




書目名稱Analysing Web Traffic影響因子(影響力)學科排名




書目名稱Analysing Web Traffic網(wǎng)絡公開度




書目名稱Analysing Web Traffic網(wǎng)絡公開度學科排名




書目名稱Analysing Web Traffic被引頻次




書目名稱Analysing Web Traffic被引頻次學科排名




書目名稱Analysing Web Traffic年度引用




書目名稱Analysing Web Traffic年度引用學科排名




書目名稱Analysing Web Traffic讀者反饋




書目名稱Analysing Web Traffic讀者反饋學科排名

choroid

nonsensical

Decrepit

cruise

https://doi.org/10.1007/978-3-030-35234-9Having characterised the problem that we address and the way of acquiring data that we use, we now turn to the features, which can be extracted from the raw data, and the choice of the possibly good selection of a subset of these variables from the point of view of the problem at hand.

Indict

Digital Cultural TransformationWhen dealing with challenging, real-world datasets, one may turn to hybrid data processing approaches that join several kinds of data analysis algorithms. The hybrid data analysis techniques are popular in the literature, where we may find fusions of optimization and classification algorithms, clustering and classification algorithms.

一起

https://doi.org/10.1007/978-3-030-83803-4The case study presented in this book highlights the properties and challenges of distinguishing bot and human traffic using weblogs and compares several solutions to this task. We present here, first, the observations related to the methodological side of the potential problem solution.

hermitage

The Pragmatics of the Data Acquisition and Assessment,In this chapter, we will look in a more detail at the ways in which data were acquired and processed in the framework of the project in question. We will do so against the background of observations and examples already provided in the preceding section, starting with the first section of the present chapter.

笨拙處理

The Proper Representation: Patterns, Variables and Their Analysis,Having characterised the problem that we address and the way of acquiring data that we use, we now turn to the features, which can be extracted from the raw data, and the choice of the possibly good selection of a subset of these variables from the point of view of the problem at hand.

合并

The Hybrid Cluster-And-Classify Approach,When dealing with challenging, real-world datasets, one may turn to hybrid data processing approaches that join several kinds of data analysis algorithms. The hybrid data analysis techniques are popular in the literature, where we may find fusions of optimization and classification algorithms, clustering and classification algorithms.