«graph mining»
۴۳۶۵ نتیجهKnowledge Discovery from Consumer Behavior in an Alcohol Market by Using Graph Mining Technique
This paper concerns an actual case of the business application of graph mining techniques to purchase history data that employs the use of an active mining process and the verification of the practical utility of the final results. In the case of data mining processes used up to
An Order-based Algorithm for Minimum Dominating Set with Application in Graph Mining
Dominating set is a set of vertices of a graph such that all other vertices have a neighbour in the dominating set. We propose a new order-based randomised local search (RLSo) algorithm to solve minimum dominating set problem in large graphs. Experimental evaluation is presented
Studying Community Dynamics with an Incremental Graph Mining Algorithm
The widespread usage of the Web and later of the Web 2.0 for social interactions has stimulated scholars of different disciplines in studying electronic communities. Traditionally, communities are observed as a static phenomenon. However, they are evolving constellations, which e
On Graph Mining with Deep Learning: Introducing Model R for Link Weight Prediction
Deep learning has been successful in various domains including image recognition, speech recognition and natural language processing. However, the research on its application in graph mining is still in an early stage. Here we present Model R, a neural network model created to pr
On Competition for Undergraduate Co-op Placements: A Graph Mining Approach
We propose a graph mining methodology to analyze the relationships among academic programs from the point of view of cooperative education. The input consists of student job interview pairs, with each student labelled with his or her academic program. From this input, we build a
InfoSift: Adapting Graph Mining Techniques for Text Classification
Text classification is the problem of assigning pre-defined class labels to incoming, unclassified documents. The class labels are defined based on a set of examples of pre-classified documents used as a training corpus. Various machine learning, information retrieval and probabi
Semantic Graph Mining for e-Science
In this paper, we present a methodology, called Semantic Graph Mining, for computer-aided extraction of actionable rules from consolidated semantic graphs of statements. First, generate semantic annotations of a set of heterogeneous knowledge/information resources in terms of dom
Complete and Incomplete Approaches for Graph Mining
In this paper, we revisit approaches for graph mining where a set of simple encodings is proposed. Complete approaches are those using an encoding allowing to get all the frequent subgraphs. Whereas incomplete approaches do not guarantee to find all the frequent subgraphs. Our ob
On Canonical Forms for Frequent Graph Mining
In approaches to frequent graph mining that are based on growing subgraphs into a set of graphs, one of the core problems is how to avoid redundant search. A powerful technique to overcome this problem is a canonical description of a graph, which uniquely identifies it, and a cor
Graph Mining using Graph Pattern Profiles
This paper presents our investigation into graph mining methods to help users understand large graphs. Our approach is a two-step process: First calculate subgraph labels and then calculate distribution statistics on these labels. Our approach is flexible in that it can identify