Titlebook: Knowledge Acquisition: Approaches, Algorithms and Applications; Pacific Rim Knowledg Debbie Richards,Byeong-Ho Kang Conference proceedings

overture

Automatic Database Creation and Object’s Model Learningimportant need for the problems of object detection and recognition. Our main idea is to acquire the huge amount of video data actively, and seeks out opportunities to autonomously exploit information from object samples. We employ autonomous learning approach based on online boosting technique, whi

habile

Finding the Most Interesting Association Rules by Aggregating Objective Interestingness Measuresfinding interesting rules possessing certain characteristics. Till now, the usual method for using objective interestingness measures is to select one or several suitable measures for filtering rules. This paper proposes a new approach to aggregate a set of interestingness measures using the Choquet

首創(chuàng)精神

Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mininghnique called Chunkingless Graph-Based Induction (Cl-GBI) can find such discriminative subgraphs from graph structured data. But, it sometimes happens that Cl-GBI cannot extract subgraphs that are good enough to characterize the given data due to its time and space complexities. Thus, to improve its

油膏

不理會(huì)

narcotic

Inoperable

Using Formal Concept Analysis towards Cooperative E-Learningstudents as they search the existing knowledge corpus. Formal Concept Analysis (FCA) is used as a knowledge acquisition tool to process the students virtual surfing trails to express and exploit the dependencies between webpages to yield subsequent and more effective focused search results. The syst

木質(zhì)

Navigation and Annotation with Formal Concept Analysisowsing interface to feature a conceptual neighborhood centered on a formal concept derived from curatorial tags in a museum management system. The neighborhood of a concept is decorated with upper and lower neighbors in a concept lattice. Movement through the information space is achieved by the add

Ostrich

What Does an Information Diffusion Model Tell about Social Network Structure? a new scheme for empirical study to explore the behavioral characteristics of representative information diffusion models such as the IC (Independent Cascade) model and the LT (Linear Threshold) model on large networks with different community structure. To change community structure, we first cons

DAUNT

Web Mining for Malaysia’s Political Social Networks Using Artificial Immune System mainly about spreading rumors and information through cyberspace that created positive and negative effects to the political situations in Malaysia. There are many branches of cyberspace that can be used by the Internet users to channel their opinions such as websites, forums and blogs which contai