Titlebook: Machine Learning and Data Mining in Pattern Recognition; 14th International C Petra Perner Conference proceedings 2018 Springer Internation

切口

书目名称Machine Learning and Data Mining in Pattern Recognition影响因子(影响力)




书目名称Machine Learning and Data Mining in Pattern Recognition影响因子(影响力)学科排名




书目名称Machine Learning and Data Mining in Pattern Recognition网络公开度




书目名称Machine Learning and Data Mining in Pattern Recognition网络公开度学科排名




书目名称Machine Learning and Data Mining in Pattern Recognition被引频次




书目名称Machine Learning and Data Mining in Pattern Recognition被引频次学科排名




书目名称Machine Learning and Data Mining in Pattern Recognition年度引用




书目名称Machine Learning and Data Mining in Pattern Recognition年度引用学科排名




书目名称Machine Learning and Data Mining in Pattern Recognition读者反馈




书目名称Machine Learning and Data Mining in Pattern Recognition读者反馈学科排名

Abutment

Buttress

Fuzzy Networks Model, a Reliable Adoption in Corporations,s paper presents a Knowledge engineering application whereby a Fuzzy Network (FN) is used to build a complex computing model to reproduce corporate dynamics and to implement a Model Reference Adaptive Control (MARC) strategy for Corporate Control [.]. This model is used as a What If? Environment to

Peristalsis

过分

Understanding Customers and Their Grouping via WiFi Sensing for Business Revenue Forecasting,he most important components for the use of Internet access and other applications. In this work, we propose a WiFi-based sensing for store revenue forecasting by analyzing the customers’ behavior, especially the grouped customers’ behavior. Understanding customers’ behavior through WiFi-based sensi

refine

Scintigraphy

ARCHE

Predicting Social Unrest Using GDELT,wer of machine learning (Random Forests, Boosting, and Neural Networks) to try to explain and predict when huge social unrest events (Huge social unrest events are major social unrest events as recognized by Wikipedia page ‘List of incidents of civil unrest in the United States’) might unfold. We ex

Dislocation

Ten Years of Relevance Score for Content Based Image Retrieval,esults by filling the semantic gap between the user needs and the automatic image description provided by different image representations. Including the human in the loop through Relevance Feedback (RF) mechanisms turned out to help improving the retrieval results in CBIR. In this paper, we claim th

冒烟

When Different Is Wrong: Visual Unsupervised Validation for Web Information Extraction,action algorithm and hence further improve extraction results. The proposed validation method is unsupervised and can be integrated into most web information extraction systems effortlessly without any impact on existing processes, system’s robustness or maintenance. Instead of relying on visual pat