Structure Mining for Intellectual Networks

اسناد مشابه

• Mining Static and Dynamic Structural Patterns in Networks for Knowledge Management: a Computational Framework and Case studies

  سند علمی۲۰۰۵Jie Xu

  Contemporary organizations live in an environment of networks: internally, they manage the networks of employees, information resources, and knowledge assets to enhance productivity and improve efficiency; externally, they form alliances with strategic partners, suppliers, buyers

• Network Structure Mining: Locating and isolating core members in covert terrorist networks

  سند علمی۲۰۰۸MUHAMMAD AKRAM SHAIKH, WANG JIAXIN

  Knowing patterns of relationship in covert (illegal) networks is very useful for law enforcement agencies and intelligence analysts to investigate collaborations among criminals. Previous studies in network analysis have mostly dealt with overt (legal) networks with transparent s

• Website Structure Mining using Social Network Analysis

  سند علمی۲۰۱۱Internet ResearchM. Rocío Martínez-Torres, Sergio L. Toral Marín, Beatriz Palacios, Federico Barrero

  Purpose – Web sites are typically designed attending to a variety of criteria. However, web site structure determines browsing behavior and way-finding results. The aim of this study is to identify the main profiles of web sites’ organizational structure by modeling them as graph

• Studying the Structure of Terrorist Networks: A Web Structural Mining Approach

  سند علمی۲۰۰۵AMCISJialun Qin, Jennifer Jie Xu, Yilu Zhou, Hsinchun Chen

  Because terrorist organizations often operate in network forms where individual terrorists collaborate with each other to carry out attacks, we could gain valuable knowledge about the terrorist organizations by studying structural properties of such terrorist networks. However, p

• Improvement of CB & BC Algorithms (CB* Algorithm) for Learning Structure of Bayesian Networks as Classifier in Data Mining

  سند علمی۲۰۰۷Benhard Sitohang, Putri Saptawati

  There are two categories of well-known approach (as basic principle of classification process) for learning structure of Bayesian Network (BN) in data mining (DM): scoring-based and constraint-based algorithms. Inspired by those approaches, we present a new CB* algorithm that is

• Construction and implications of structural equation modeling network for pediatric cataract: a data mining research of rare diseases

  سند علمی۲۰۱۷BMC ophthalmologyErping Long, Shuangjuan Xu, Zhenzhen Liu, Xiaohang Wu

  BACKGROUND The majority of rare diseases are complex diseases caused by a combination of multiple morbigenous factors. However, uncovering the complex etiology and pathogenesis of rare diseases is difficult due to limited clinical resources and conventional statistical methods. T