Background older people may be less likely to receive interventions than younger people. Age bias in national guidance may influence entire public health and health care systems. We examined how English National Institute for Health & Care Excellence (NICE) guidance and guidelines consider age. Methods we undertook a documentary analysis of NICE public health (n = 33) and clinical (n = 114) g...

This paper studies an industrial lot-sizing and scheduling problem coming from the food-industry that extends multi-item capacitated includes lost sales, overtimes, safety stock non-uniform sequence-dependent setups on parallel machines. We introduce two different formulations adapt well-known Relax-and-Fix Fix-and-Optimise heuristics in order to quickly obtain feasible solutions large instance...

With the increased usage of computer networks, security becomes a critical issue. Recently, data mining methods have gained lot of attention in addressing network security issues, including intrusion detection. Consequently, unsupervised learning methods have been given much importance for anomaly based network intrusion detection. In this paper, we investigate new clustering algorithms like fa...

Clustering of relational data has so far received a lot less attention than classification of such data. In this paper we investigate a simple approach based on randomized propositionalization, which allows for applying standard clustering algorithms like KMeans to multi-relational data. We describe how random rules are generated and then turned into boolean-valued features. Clustering generall...

Web Usage Mining (WUM) is a term related to the extraction of knowledge from web log data. Web log data has a lot of irrelevant data to proceed WUM. Therefore, it requires several steps to get a good quality of data, because the final result of WUM depends on the quality of the input data. Therefore, in this paper we propose a new approach to overcome these problems, hence, it is called the two...

In recent years, the applications of Wireless Sensor Networks (WSNs) have grown enormously. In WSNs there is one mechanism used to enlarge the lifespan of network and provide more efficient functioning procedures that is clustering. Clustering is a process to subdivide the sensing field of sensor network into number of clusters. Each cluster selects a leader called cluster head. A cluster head ...

The problem of clustering large data sets has attracted a lot of current research. The approaches taken are mainly based either on the more efficient implementation or modification of existing methods or/and on the construction of clusters from a small sub-sample of the data and then the assignment of all observations in those clusters. The current paper focuses on the latter direction. An alte...

World Wide Web is a huge repository of information and there is a tremendous increase in the volume of information daily. The number of users are also increasing day by day. To reduce users browsing time lot of research is taken place. Web Usage Mining is a type of web mining in which mining techniques are applied in log data to extract the behaviour of users. Clustering plays an important role...