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Aim
The aim was to assess the benefit of adjuvant chemotherapy in high‐risk Stage II colorectal cancer.
Method
A systematic literature review and meta‐analysis was performed comparing survival in patients with resected Stage II colorectal cancer and high‐risk features having postoperative chemotherapy vs no chemotherapy.
Results
Of 1031 articles screened, 29 were included, reporting on 183 749...
Clustering- an important data mining task, which groups the data on the basis of similarities among the data, can be divided into two broad categories, partitional clustering and hierarchal. We combine these two methods and propose a novel clustering algorithm called Hierarchical Particle Swarm Optimization (HPSO) data clustering. The proposed algorithm exploits the swarm intelligence of cooperating...
Outlier detection is an important field in data mining and knowledge discovery, which aims to identify abnormal observations in a large dataset. Common application areas of outlier detection are intrusion detection in computer networks, credit cards fraud detection, detecting abnormal changes in stock prices, and identifying abnormal health conditions. We propose the use of a novel swarm intelligence...
A recently proposed multi parametric quadratic programming (QP) based approach to image matching under complex photometric variations has shown quite an improvement over other state-of-the-art algorithms. However, it is not an entirely satisfactory solution for many practical applications as it does not account for geometric dissimilarities between the images. We extend the QP-based method and propose...
Web session clustering is one of the important Web usage mining techniques which aims to group usage sessions on the basis of some similarity measures. In this paper we describe a new Web session clustering algorithm that uses particle swarm optimization. We review the existing Web usage clustering techniques and propose a swarm intelligence based PSO-clustering algorithm for the clustering of Web...
Clustering is an important data mining task and has been explored extensively by a number of researchers for different application areas such as finding similarities in images, text data and bio-informatics data. Various optimization techniques have been proposed to improve the performance of clustering algorithms. In this paper we propose a novel algorithm for clustering that we call evolutionary...
The discrete cosine transform is proposed as a basis for representing fundamental frequency (F0) contours of speech. The advantages over existing representations include deterministic algorithms for both analysis and synthesis and a simple distance measure in the parameter space. A two-tier model using the DCT is shown to be able to model F0 contours to around 10 Hz RMS error. A proof-of-concept system...
Objective: Our goal was to develop a reliable measure of childhood maltreatment that could be used to evaluate retrospective memories among adults across a broad range of potentially abusive caregiver behaviors.Method: These behaviors were organized into 31 items that query age at onset, frequency across 4 developmental periods, relationship of the perpetrator(s), and respondents' perception of the...
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