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CIDM
2009
IEEE
12 years 5 days ago
Gender identification from E-mails
In this paper, we investigate the topic of gender identification for short length, multi-genre, content-free e-mails. We introduce for the first time (to our knowledge), psycholing...
Na Cheng, Xiaoling Chen, R. Chandramouli, K. P. Su...
CIDM
2009
IEEE
12 years 5 days ago
Empirical comparison of graph classification algorithms
The graph classification problem is learning to classify separate, individual graphs in a graph database into two or more categories. A number of algorithms have been introduced fo...
Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Coo...
CIDM
2009
IEEE
12 years 5 days ago
Clustering-based activity classification with a wrist-worn accelerometer using basic features
Abstract-- Automatic recognition of activities using time series data collected from exercise can facilitate development of applications that motivate people to exercise more frequ...
Pekka Siirtola, Perttu Laurinen, Eija Haapalainen,...
CIDM
2009
IEEE
12 years 5 days ago
Faster computation of the direct product kernel for graph classification
The direct product kernel, introduced by G
Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Coo...
CIDM
2009
IEEE
12 years 5 days ago
Handling continuous attributes in Ant Colony Classification algorithms
Most real-world classification problems involve continuous (real-valued) attributes, as well as, nominal (discrete) attributes. The majority of Ant Colony Optimisation (ACO) classi...
Fernando E. B. Otero, Alex Alves Freitas, Colin G....
CIDM
2009
IEEE
12 years 29 days ago
Analysis and visualization of the geographical distribution of atlantic forest bromeliads species
— This work presents a spatial distribution analysis of Brazilian Atlantic Forest Bromeliad species catalogued by the Rio de Janeiro Botanical Gardens Research Institute. Our ana...
Stainam Nogueira Brandão, Wagner N. Silva, ...
CIDM
2009
IEEE
12 years 29 days ago
An architecture and algorithms for multi-run clustering
—This paper addresses two main challenges for clustering which require extensive human effort: selecting appropriate parameters for an arbitrary clustering algorithm and identify...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Vadee...
CIDM
2009
IEEE
12 years 3 months ago
Evolving decision trees using oracle guides
—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...
Ulf Johansson, Lars Niklasson
CIDM
2009
IEEE
12 years 3 months ago
Density-based clustering of polygons
– Clustering is an important task in spatial data mining and spatial analysis. We propose a clustering algorithm P-DBSCAN to cluster polygons in space. PDBSCAN is based on the we...
Deepti Joshi, Ashok Samal, Leen-Kiat Soh
CIDM
2009
IEEE
12 years 3 months ago
Mining for insider threats in business transactions and processes
—Protecting and securing sensitive information are critical challenges for businesses. Deliberate and intended actions such as malicious exploitation, theft or destruction of dat...
William Eberle, Lawrence B. Holder
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