Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Introduction to Data Stream Mining
Search
Albert Bifet
August 25, 2012
Research
1
240
Introduction to Data Stream Mining
Albert Bifet
August 25, 2012
Tweet
Share
More Decks by Albert Bifet
See All by Albert Bifet
Distributed Systems
abifet
1
270
Frequent Pattern Mining
abifet
1
240
Regression
abifet
0
260
Evaluation
abifet
1
220
Stream Algorithmics
abifet
1
370
Clustering
abifet
2
290
Ensemble Methods
abifet
0
250
Classification
abifet
0
330
Concept Drift
abifet
0
390
Other Decks in Research
See All in Research
Towards a More Efficient Reasoning LLM: AIMO2 Solution Summary and Introduction to Fast-Math Models
analokmaus
2
230
定性データ、どう活かす? 〜定性データのための分析基盤、はじめました〜 / How to utilize qualitative data? ~We have launched an analysis platform for qualitative data~
kaminashi
6
1k
研究テーマのデザインと研究遂行の方法論
hisashiishihara
5
1.4k
SSII2025 [SS1] レンズレスカメラ
ssii
PRO
2
970
2025年度 生成AIの使い方/接し方
hkefka385
1
700
プロシェアリング白書2025_PROSHARING_REPORT_2025
circulation
1
870
Cross-Media Information Spaces and Architectures
signer
PRO
0
220
NLP Colloquium
junokim
1
160
ASSADS:ASMR動画に合わせて撫でられる感覚を提示するシステムの開発と評価 / ec75-shimizu
yumulab
1
380
言語モデルの内部機序:解析と解釈
eumesy
PRO
49
18k
Adaptive Experimental Design for Efficient Average Treatment Effect Estimation and Treatment Choice
masakat0
0
130
ウッドスタックチャン:木材を用いた小型エージェントロボットの開発と印象評価 / ec75-sato
yumulab
1
420
Featured
See All Featured
ReactJS: Keep Simple. Everything can be a component!
pedronauck
667
120k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
8
800
Building Better People: How to give real-time feedback that sticks.
wjessup
367
19k
The Straight Up "How To Draw Better" Workshop
denniskardys
234
140k
What's in a price? How to price your products and services
michaelherold
246
12k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
124
52k
Mobile First: as difficult as doing things right
swwweet
223
9.7k
A designer walks into a library…
pauljervisheath
207
24k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
45
7.5k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
48
5.4k
VelocityConf: Rendering Performance Case Studies
addyosmani
331
24k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
281
13k
Transcript
Introduction to Data Stream Mining Albert Bifet March 2012
Motivation Source: IDC’s Digital Universe Study (EMC), June 2011 Data
is growing
Motivation Memory unit Size Binary size kilobyte (kB/KB) 103 210
megabyte (MB) 106 220 gigabyte (GB) 109 230 terabyte (TB) 1012 240 petabyte (PB) 1015 250 exabyte (EB) 1018 260 zettabyte (ZB) 1021 270 yottabyte (YB) 1024 280 Data is growing
Motivation Source: IDC’s Digital Universe Study (EMC), June 2011 Data
is growing
Motivation Source: IDC’s Digital Universe Study (EMC), June 2011 Data
is growing
Motivation Source: IDC’s Digital Universe Study (EMC), June 2011 Data
is growing
Streaming Data Big Data & Real Time
Big Data McKinsey Global Institute (MGI) Report on Big Data,
2011. Big data refers to datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze.
Big Data McKinsey Global Institute (MGI) Report on Big Data,
2011. Big data refers to datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze.
Methodology Sampling and distributed systems
Methodology Paolo Boldi Big Data does not need big machines,
it needs big intelligence
Real time analytics We want to analyze what is happening
now.
Real time analytics We want to analyze what is happening
now.
Time and Memory Number 8 Wire Mentality Time and memory
are the resource dimensions of the process.
Time and Memory Time and memory are the resource dimensions
of the process.
Algorithms Classification, Regression, Clustering, Frequent Pattern Mining.
Applications sensor data: industry, cities telecomm data social networks: twitter,
facebook, yahoo marketing: sales business Data may come from: humans, sensors, or machines.
Data Streams Big Data & Real Time