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Results 11 - 20
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249
New Techniques for Geographic Routing
, 2006
"... As wireless sensor networks continue to grow in size, we are faced with the prospect of emerging wireless networks with hundreds or thousands of nodes. Geographic routing algorithms are a promising alternative to tradition ad hoc routing algorithms in this new domain for point-to-point routing, but ..."
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As wireless sensor networks continue to grow in size, we are faced with the prospect of emerging wireless networks with hundreds or thousands of nodes. Geographic routing algorithms are a promising alternative to tradition ad hoc routing algorithms in this new domain for point-to-point routing
Prediction of Online Vehicle Insurance System using Bayes Classifier – A Proposed Approach
"... A classification technique (or classifier) is a systematic approach used in building classification models from an input data set. Some examples include decision tree classifier, rule based classifiers, neural networks, support vector machines and naïve Bayes classifiers. Each technique employs a le ..."
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learning algorithm to identify a model that best fits the relationships between the attribute set and the class label of the input data. The model generated by the learning algorithm should both fit the input data well and correctly predict the class labels of records it has never seen before. Therefore, a
The BKZ Simulation Algorithm
"... Hiermit versichere ich, die vorliegende Bachelor-Thesis ohne Hilfe Dritter nur mit den angegebenen Quellen und Hilfsmitteln angefertigt zu haben. Alle Stellen, die aus Quellen entnommen wurden, sind als solche kenntlich gemacht. Diese Arbeit hat in gleicher oder ähnlicher Form noch keiner Prüfungsbe ..."
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. The BKZ simulation algorithm by Chen and Nguyen predicts the Gram-Schmidt norms of a lattice basis after a given time of rounds of BKZ reduction. Given the cost of the enumeration subroutine used in BKZ reduction, the simulation algorithm can also be used to estimate the running time of BKZ reduction
Chapter 12 Rough Sets and Rough Logic: A KDD Perspective
"... Abstract Basic ideas of rough set theory were proposed by Zdzis law Pawlak [85, 86] in the early 1980’s. In the ensuing years, we have witnessed a systematic, world–wide growth of interest in rough sets and their applications. The main goal of rough set analysis is induction of approximations of con ..."
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Abstract Basic ideas of rough set theory were proposed by Zdzis law Pawlak [85, 86] in the early 1980’s. In the ensuing years, we have witnessed a systematic, world–wide growth of interest in rough sets and their applications. The main goal of rough set analysis is induction of approximations
An Approach to Automation Selection of Decision Tree based on Training Data Set D.Saravana Kumar
"... In Data mining applications, very large training data sets with several million records are common. Decision trees are very much powerful and excellent technique for both classification and prediction problems. Many decision tree construction algorithms have been proposed to develop and handle large ..."
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Cited by 2 (1 self)
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large or small training data. Some related algorithms are best for large data sets and some for small data sets. Each algorithm works best for its own criteria. The decision tree algorithms classify categorical and continuous attributes very well but it handles efficiently only a smaller data set
Credit Card Fraud Detection with a Neural-Network,”
- Proc. 27th Hawaii Int‟l Conf. System Sciences: Information Systems: Decision Support and Knowledge-Based Systems,
, 1994
"... Abstract Using data from a credit card issuer, a neural network based fraud detection system was trained on a large sample of labelled credit card account transactions and tested on a holdout data set that consisted of all account activity over a subsequent two-month period of time. The neural netw ..."
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Cited by 74 (0 self)
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Abstract Using data from a credit card issuer, a neural network based fraud detection system was trained on a large sample of labelled credit card account transactions and tested on a holdout data set that consisted of all account activity over a subsequent two-month period of time. The neural
RICE UNIVERSITY Regime Change: Sampling Rate vs. Bit-Depth in Compressive Sensing
, 2011
"... The compressive sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by exploiting inherent structure in natural and man-made signals. It has been demon-strated that structured signals can be acquired with just a small number of linear measurements, on the order of t ..."
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. We develop a new theoretical framework to analyze this extreme case and develop new algorithms for signal reconstruction from such coarsely quantized measurements. The 1-bit CS framework leads us to scenarios where it may be more appropriate to reduce bit-depth instead of sampling rate. We find
8 Published By: Blue Eyes Intelligence Engineering
"... Abstract — Decision tree inductions are well thought-out as it is one of the most accepted approaches for representing classifiers. Many researchers from varied disciplines like Statistics, Pattern Reorganization; Machine Learning measured the problem of growing a decision tree from available data. ..."
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attributes whereas prediction model is the continuous value function. Training data are analyzed by classification algorithm. In decision tree construction attribute selection measure are used to select attributes, that best partition tuples into different classes. The branches of decision tree may reflect
ACKNOWLEDGMENTS
"... First, I would like to thank my advisors Prof. Gal A. Kaminka and Dr. David Sarne for their excellent guidance and constant support in the past two years. I learned quite a bit about scientific research, all thanks to their great instruction. Working with them was a real pleasure, not only on the pr ..."
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First, I would like to thank my advisors Prof. Gal A. Kaminka and Dr. David Sarne for their excellent guidance and constant support in the past two years. I learned quite a bit about scientific research, all thanks to their great instruction. Working with them was a real pleasure, not only
Results 11 - 20
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249
