Chapter 1 gives an overview in the context of knowledge management. Chapter 2 discusses some basic software support to data visualization. Chapter 3 covers fundamentals of market basket analysis, and Chapter 4 provides demonstration of RFM modeling, a basic marketing data mining tool. Chapter 5 ...
Y He,SC Hui,Y Sim - 《Lecture Notes in Computer Science》 被引量: 37发表: 2006年 Gibbs sampling based Multi-scale Mixture Model for speaker clustering The aim of this work is to apply a sampling approach to speech modeling, and propose a Gibbs sampling based Multi-scale Mixture Model (...
[36] developed a method for automatic annotation of image datasets based on implicit interaction and visual concept modeling using data collected from Flickr. They found that the manual annotation of Flickr is much more analytical and provides more keywords, compared to the typical usage of keywords...
As its name implies,predictive analyticstries to make predictions about future performance. This is done through the use of statistics and modeling. Current and past data are used to determine whether similar outcomes are likely to happen again in the future. Companies that employ predictive analytic...
Digital imaging analysis was used to study localized deformations in granular materials tested under plane strain condition. Two independent techniques wer... KA Alshibli,S Sture - 《Journal of Computing in Civil Engineering》 被引量: 200发表: 1998年 Fuzzy fractal dimensions and fuzzy modeling Fract...
Modern data mining tools in descriptive sensory analysis: A case study with a Random forest approach In this paper we introduce random forest (RF) as a new modeling technique in the field of sensory analysis. As a case study we apply RF to the predictive d......
Using descriptive text data produced by 2.9 million individuals in about 95 thousand US firms from the employee review website Glassdoor.com, we calculate our measure of organizational cultural strength using topic modeling and show that it behaves as theoretically expected: older, smaller, and more...
Research onregularized logic descriptionin discrete event control systems; 离散事件控制系统规则化描述方法的研究 5) descriptive principle 描述性原则 6) Rule description method 规则化描述方法 1. So modeling of CTPN derived from rule description method, which takes advantages of two modeling methods, is...
In this chapter, we will focus on batch processing with offline, cold data. Building machine learning models using cold data is the most common approach across varied use cases such as video production, financial modeling, drug discovery, genomic research, recommendation engines, and more. We will...
29 Object, Temporal, Database, Modeling, Orient, Online, Class, System, Programming, Model 30 Datum, Mining, Management, Stream, System, Tool, Database, Structure, Quality, Recursive Topic specificity vs. Coherence. Fig. 6 shows how the topic specificity score relates to the coherence score. ...