The three main pub/sub systems – type-based, content-based and topic-based networks allow for normalised subscriptions and publications using a combination of push/pull message delivery. Knowledge-based Networks (KBN) extends content-based networks by allowing subscriptions to be matched not only on the contents of messages, but also on some semantics of the message contents [1,2,3]. This creat...

We study synchronization transitions and pattern formation on small-world networks consisting of Morris–Lecar excitable neurons in dependence on the information transmission delay and the rewiring probability. In addition, networks formed via gap junctional connections and coupling via chemical synapses are considered separately. For gap-junctionally coupled networks we show that short delays c...

In this paper proposes different conventional and fuzzy based clustering techniques for fault detection and isolation in process plant monitoring. Process plant monitoring is very important aspect to improve productiveness and efficiency of the product and plant. This paper takes a case study of plant data and implements K means algorithm and fuzzy C means algorithm to cluster the relevant data...

The aim of this paper is to evaluate, propose and improve the use of advanced web data clustering techniques, allowing data analysts to conduct more efficient execution of large-scale web data searches. Increasing the efficiency of this search process requires a detailed knowledge of abstract categories, pattern matching techniques, and their relationship to search engine speed. In this paper w...

This term paper focuses on how the big data is analysed in a distributed environment through Hadoop Map Reduce. Big Data is same as “small data” but bigger in size. Thus, it is approached in different ways. Storage of Big Data requires analysing the characteristics of data. It can be processed by the employment of Hadoop Map Reduce. Map Reduce is a programming model working parallel for large c...

Malware detection developer faced a problem for a generation of new signature of malware code. A very famous and recognized technique is pattern based malware code detection technique. This leads to the evasion of signatures that are built based on the code syntax. In this paper, we discuss some well known method of malware detection based on semantic feature extraction technique. In current de...

OBJECTIVE Pattern analysis of adolescent diets may provide an important basis for nutritional health promotion. The aims of the present study were to examine and compare dietary patterns in adolescents using cluster analysis and principal component analysis (PCA) and to examine the impact of the format of the dietary variables on the solutions. DESIGN Analysis was based on the Irish National ...

Background Allergens tend to sensitize simultaneously. Etiology of this phenomenon has been suggested to be allergen cross-reactivity or concurrent exposure. However, little is known about specific allergen sensitization patterns. Objective To investigate the allergen sensitization characteristics according to gender. Methods Multiple allergen simultaneous test (MAST) is widely used as a sc...

Generalising knowledge and matching patterns is a basic human trait in re-using past experiences. We often cluster (group) knowledge of similar attributes as a process of learning and or aid to manage the complexity and re-use of experiential knowledge [1, 2]. In conceptual design, an ill-defined shape may be recognised as more than one type. Resulting in shapes possibly being classified differ...

We present results from a study on constructing and evaluating a support tool for the extraction of patterns in distributed decision making processes, based on design criteria elicited from a study on the work process involved in studying such decision making. Specifically, we devised and evaluated an analysis tool for C researchers who study simulated decision-making scenarios for command team...