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From Data Mining to Knowledge Discovery in Databases

The AI magazine, 1996-09, Vol.17 (3), p.37-54

1996

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Knowledge Discovery in Databases: An Overview

The AI magazine, 1992-09, Vol.13 (3), p.57-70

1992

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Data mining and knowledge discovery 1996 to 2005: overcoming the hype and moving from “university” to “business” and “analytics”

Data mining and knowledge discovery, 2007-08, Vol.15 (1), p.99-105

Piatetsky-Shapiro, Gregory

2007

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ACM TKDD Special Issue on Knowledge Discovery for Web Intelligence

ACM transactions on knowledge discovery from data, 2010-12, Vol.5 (1), p.1-1

2010

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Comment on “A Revolution That Will Transform How We Live, Work, and Think: An Interview with the Authors of Big Data ”

Big data, 2013-12, Vol.1 (4), p.193-193

Piatetsky-Shapiro, Gregory

2013

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Knowledge discovery workbench for exploring business databases

International journal of intelligent systems, 1992-09, Vol.7 (7), p.675-686

1992

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Data mining and knowledge discovery: The third generation

Foundations of Intelligent Systems, 2005, p.48-49

2005

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Systems for knowledge discovery in databases

IEEE transactions on knowledge and data engineering, 1993-12, Vol.5 (6), p.903-913

1993

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Accurate estimation of the number of tuples satisfying a condition

SIGMOD record, 1984-06, Vol.14 (2), p.256-276

1984

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KDD‐93: Progress and Challenges in Knowledge Discovery in Databases

The AI magazine, 1994-09, Vol.15 (3), p.77-82

1994

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The data-mining industry coming of age

IEEE intelligent systems, 1999-11, Vol.14 (6), p.32

Piatetsky-Shapiro, Gregory

1999

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Data mining and knowledge discovery in business databases

Foundations of Intelligent Systems, 2005, p.56-67

2005

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The data-mining industry coming of age

IEEE intelligent systems & their applications, 1999-11, Vol.14 (6), p.32-34

Piatetsky-Shapiro, G.

1999

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The Journey of Knowledge Discovery

Journeys to Data Mining, 2012, p.173-196

2012

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An introduction to SIGKDD and a reflection on the term 'data mining'

SIGKDD explorations, 2012-05, Vol.13 (2), p.102-103

2012

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On feature selection through clustering

Fifth IEEE International Conference on Data Mining (ICDM'05), 2005, p.4 pp.

2005

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The KDD process for extracting useful knowledge from volumes of data

Communications of the ACM, 1996-11, Vol.39 (11), p.27-34

1996

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Guest editor's introduction: Knowledge discovery in databases ? from research to applications

Journal of intelligent information systems, 1995-01, Vol.4 (1), p.5-6

Piatetsky-Shapiro, Gregory

1995

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An intermediate database language and its rule-based transformation to different database languages

Data & knowledge engineering, 1987, Vol.2 (1), p.1-29

1987

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Data Mining: How Research Meets Practical Development?

Knowledge and information systems, 2003-04, Vol.5 (2), p.248-261

2003

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Introduction

International journal of intelligent systems, 1992-09, Vol.7 (7), p.587-589

Piatetsky-Shapiro, Gregory

1992

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Introduction

International journal of intelligent systems, 1992-09, Vol.7 (7), p.587-589

Piatetsky-Shapiro, Gregory

1992

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Introduction

International journal of intelligent systems, 1992-09, Vol.7 (7), p.587-589

Piatetsky‐Shapiro, Gregory

1992

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Knowledge discovery in databases: Progress report

Knowledge engineering review, 1994-03, Vol.9 (1), p.57-60

Piatetsky-Shapiro, Gregory

1994

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Knowledge Discovery in Real Databases: A Report on the IJCAI‐89 Workshop

The AI magazine, 1990, Vol.11 (5), p.68-70

Piatetsky‐Shapiro, Gregory

1990

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From Data Mining to Knowledge Discovery in Databases

Knowledge Discovery in Databases: An Overview

Data mining and knowledge discovery 1996 to 2005: overcoming the hype and moving from “university” to “business” and “analytics”

ACM TKDD Special Issue on Knowledge Discovery for Web Intelligence

Comment on “A Revolution That Will Transform How We Live, Work, and Think: An Interview with the Authors of Big Data ”

Knowledge discovery workbench for exploring business databases

Data mining and knowledge discovery: The third generation

Systems for knowledge discovery in databases

Accurate estimation of the number of tuples satisfying a condition

KDD‐93: Progress and Challenges in Knowledge Discovery in Databases

The data-mining industry coming of age

Data mining and knowledge discovery in business databases

The data-mining industry coming of age

The Journey of Knowledge Discovery

An introduction to SIGKDD and a reflection on the term 'data mining'

On feature selection through clustering

The KDD process for extracting useful knowledge from volumes of data

Guest editor's introduction: Knowledge discovery in databases ? from research to applications

An intermediate database language and its rule-based transformation to different database languages

Data Mining: How Research Meets Practical Development?

Introduction

Introduction

Introduction

Knowledge discovery in databases: Progress report

Knowledge Discovery in Real Databases: A Report on the IJCAI‐89 Workshop

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