'Entity identification' diaporamas de présentation

Data Warehousing/Mining Comp 150 DW Chapter 3: Data Preprocessing

Data Warehousing/Mining Comp 150 DW Chapter 3: Data Preprocessing. Instructor: Dan Hebert. Chapter 3: Data Preprocessing. Why preprocess the data? Data cleaning Data integration and transformation Data reduction Discretization and concept hierarchy generation Summary.

898 views • 57 slides

Spatial and Temporal Data Mining

Spatial and Temporal Data Mining. Data Preprocessing. (based on notes by Jiawei Han and Micheline Kamber ). Agenda. Why data preprocessing? Data cleaning Data integration and transformation Data reduction Discretization and concept hierarchy generation Summary.

763 views • 52 slides

BioNLP Tutorial

BioNLP Tutorial. K. Bretonnel Cohen Olivier Bodenreider Lynette Hirschman. PSB 2006 Wailea, Maui, HI. Experimental Data. Databases. Ontologies. Genbank. SwissProt. Literature Collections. MEDLINE. The Biological Data Cycle. Expert Curation.

813 views • 50 slides

Types of Data & Data Preprocessing

Types of Data & Data Preprocessing. Prof. Navneet Goyal Department of Computer Science & Information Systems BITS, Pilani. Data Preprocessing. Why preprocess the data? Data cleaning Data integration and transformation Data reduction Discretization and concept hierarchy generation

755 views • 43 slides

The Role of Machine Learning in NLP

The Role of Machine Learning in NLP. o r. Confessions of an Addict: Machine Learning as th e Steroids of NLP. Eduard Hovy USC Information Sciences Institute www.isi.edu /~hovy. Lesson 1: Banko and Brill, HLT-01. Task: Confusion set disambiguation:

376 views • 24 slides

Anurag Umbarkar , Shreyas K Rajagopal and Alex Doboli

Online Construction of Analytical Prediction Models for Physical Environments: Application to Traffic Scene Modeling. Anurag Umbarkar , Shreyas K Rajagopal and Alex Doboli Department of Electrical and Computer Engineering State University of New York, Stony Brook, NY 11794

309 views • 19 slides

HunCRIS an Example on Project Information Systems

HunCRIS an Example on Project Information Systems. Adam Tichy-Racs National Technical Information Centre and Library at the Budapest University of Technology and Economics (BME OMIKK). HunCRIS. Provides information on R&D projects in homogenized structure

307 views • 17 slides

Encoding Extraction as Inferences

Encoding Extraction as Inferences. J. William Murdock 1 , Paulo Pinheiro da Silva 2 , David Ferrucci 1 , Christopher Welty 1 , Deborah McGuinness 2. 1 IBM Watson Research Center 19 Skyline Drive Hawthorne, NY 10532, USA {murdockj,ferrucci,welty}@us.ibm.com. 2 Knowledge Systems Laboratory

287 views • 16 slides

Initial slides for Layered Service Architecture

209 views • 6 slides