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Knowledge Discovery from Data Streams
book

Knowledge Discovery from Data Streams

by Joao Gama
May 2010
Intermediate to advanced content levelIntermediate to advanced
255 pages
8h 11m
English
Chapman and Hall/CRC
Content preview from Knowledge Discovery from Data Streams
54 Knowledge Discovery from Data Streams
Algorithm 9: The PiD Algorithm for Updating Layer
1
.
input: x: Current value of the random variable
breaks: vector of actual set of break points
counts: vector of actual set of frequency counts
NrB: Actual number of breaks
α: Threshold for Split an interval
Nr: Number of observed values seen so far
begin
k 2 + integer((x breaks[1])/step)
if (x < breaks[1]) then
k 1
Min.x x
if (x > breaks[NrB]) then
k NrB
Max.x x
while (x < breaks[k 1]) do k k 1
while (x > breaks[k]) do k k + 1
counts[k] = 1 + counts[k]
Nr 1 + Nr
if (1 + counts[k])/(Nr + 2) > α then
val counts[k]/2
counts[k] val
if (k == 1) then
breaks ...
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Publisher Resources

ISBN: 9781439826126