Abstract
A lot of research has been done in the area of spam filtering and several sophisticated methods using artificial intelligence have been proposed. However, most of the open source spam filters available to- day do not provide consistent accuracy levels. Spam assassin, which is at present said to be best open source spam filter, aims at providing a single solution that can satiate the needs of individuals as well as large organizations. It filters spam at various levels using different methods with the idea that spammers will be blocke ....etc

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Clustering and Sequential Pattern Mining of Online Collaborative Learning Data

Abstract:
Group work is widespread in education. The growing use of online tools supporting group work generates huge amounts of data. We aim to exploit this data to support mirroring: presenting useful high-level views of information about the group, together with desired patterns characterizing the behavior of strong groups. The goal is to enable the groups and their facilitators to see relevant aspects of the group s ....etc

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Presented By:
Thilagu, M. Nadarajan, R. Ahmed, M.S.I. Bama, S.S.
MCA Dept., VLB JCET, Coimbatore, India

ABSTRACT

In recent years, mining of sequential patterns has been studied extensively in various domains. Most of the existing algorithms find patterns in transactional databases by scanning the records whether they contain patterns or not. This paper proposes a novel algorithm to mine closed sequential patterns using an inverted matrix and prefix based sequence element matrix. Inverted matrix minimizes the search space ....etc

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A peer-to-peer collaborative writing platform for language learning

Co-ordinator: Mario Camilleri, University of Malta, MALTA
Project team: Valerie Sollars, University of Malta, MALTA
Helena Leja, Teacher Training College, Rzesz w, POLAND
Peter Ford, ICT4Schools Ltd, Nottingham, UK


CONTEXT
The pedagogical rationale behind the use of Information and Communications Technologies in language education is firmly tied to the popularity of communicative language teaching approaches and constructivist (especia ....etc

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Data Mining: Clustering



What is Cluster Analysis

Cluster: a collection of data objects
Similar to one another within the same cluster
Dissimilar to the objects in other clusters
Cluster analysis
Grouping a set of data objects into clusters
Clustering is unsupervised classification: no predefined classes
Typical applications
As a stand-alone tool to get insight into data distribution
As a preprocessing step for other algorithms

Examples of Clustering Applications ....etc

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A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets-IEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 4,-java

Abstract +
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns identifies significant event-type sequences. Such spatio-temporal sequential patterns are crucial to the investigation of spatial and temporal evolutions of phenomena in many application domains. Rec ....etc

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In machine learning methods, when the input data becomes extremely large, the current direct methods
require too large learning times and memory. This project investigates one sequential method to overcome this
problem. It is quite a simple method to implement and is tested using the Perceptron as the base classifier. The
perceptron converges very slowly. So it will be interesting to find out if the proposed accelerator can improve
significantly the computational times of this simple classifier. The student will try various investigations o ....etc

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In machine learning methods, when the input data becomes extremely large, the current direct methods
require too large learning times and memory. This project investigates one sequential method to overcome this
problem. It is quite a simple method to implement and is tested using the well-known LDA classifier. The student
will try various investigations on different very large data sets and to measure their computational complexities. It
has been shown that this sequential method is very fast and only need a small subset of the large data s ....etc

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clustering in data mining seminar report

Aims and Outline of This Module
Discussing the idea of clustering.
Applications
Shortly about main algorithms.
More details on:
k-means algorithm/s
Hierarchical Agglomerative Clustering
Evaluation of clusters
Large data mining perspective
Practical issues: clustering in Statistica and
WEKA. ....etc

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In the series of implementing Recommendation engines, in my previous blog about recommendation system in R, I have explained about implementing user based collaborative filtering approach using R. In this post, I will be explaining about basic implementation of Item based collaborative filtering recommender systems in r.
Item based Collaborative Filtering:
Unlike in user based collaborative filtering discussed previously, in item-based collaborative filtering, we consider set of items rated by the user and computes item similarities with the ....etc

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