IDEAL 2004 - PDF Preprint Papers

IDEAL 2004 International Conference on Intelligent Data Engineering and Automated Learning

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IDEAL
2004
Springer

287views Intelligent Agents» more IDEAL 2004»

Mobile Data Mining by Location Dependencies

14 years 5 months ago

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Mobile mining is about finding useful knowledge from the raw data produced by mobile users. The mobile environment consists of a set of static device and mobile device. Previous wo...

Jen Ye Goh, David Taniar

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Id	Views	Title	Status

1	287	Mobile Data Mining by Location Dependencies	claim
2	232	Combining Local and Global Models to Capture Fast and Slow Dynamics in Time Series Data	claim
3	222	Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks	claim
4	197	Building Genetic Networks for Gene Expression Patterns	claim
5	180	PRICES: An Efficient Algorithm for Mining Association Rules	claim
6	173	Summarizing Time Series: Learning Patterns in 'Volatile' Series	claim
7	159	The Application of K-Medoids and PAM to the Clustering of Rules	claim
8	143	Detecting Worm Propagation Using Traffic Concentration Analysis and Inductive Learning	claim
9	138	DIVACE: Diverse and Accurate Ensemble Learning Algorithm	claim
10	127	A Framework for Mining Association Rules in Data Warehouses	claim
11	124	Learning Users' Interests in a Market-Based Recommender System	claim
12	123	Kernel Density Construction Using Orthogonal Forward Regression	claim
13	122	Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data	claim
14	116	Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining	claim
15	116	DESCRY: A Density Based Clustering Algorithm for Very Large Data Sets	claim
16	115	Dimensionality Reduction with Image Data	claim
17	111	Orthogonal Least Square with Boosting for Regression	claim
18	111	Learning to Classify Biomedical Terms Through Literature Mining and Genetic Algorithms.	claim
19	109	PromSearch: A Hybrid Approach to Human Core-Promoter Prediction	claim
20	109	Mining Large Engineering Data Sets on the Grid Using AURA	claim
21	104	Cosine Transform Priors for Enhanced Decoding of Compressed Images	claim
22	94	Policy Gradient Method for Team Markov Games	claim
23	93	In-Situ Learning in Multi-net Systems	claim
24	93	An Intelligent Topic-Specific Crawler Using Degree of Relevance	claim
25	92	Combining Gaussian Mixture Models	claim
26	91	An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses	claim
27	90	Generating and Applying Rules for Interval Valued Fuzzy Observations	claim
28	83	User Adaptive Answers Generation for Conversational Agent Using Genetic Programming	claim
29	83	Wrapper for Ranking Feature Selection	claim
30	78	Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications	claim

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