Advances in Knowledge Discovery in Databases

Name: Advances in Knowledge Discovery in Databases
Brand: Springer International Publishing AG
SKU: 9783319132112
Price: 38234 HUF
Availability: InStock

Szerző: Animesh Adhikari, Jhimli Adhikari

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

38 234 Ft

Knowledge discovery in databases (KDD) is a well known research area in computer science. It has bee...

Információk a könyvről

Szerző

Animesh Adhikari, Jhimli Adhikari

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2014

oldal

370

EAN

9783319132112

ISBN

3319132113

Enbook ID

09034230

Kiadó

Springer International Publishing AG

Súly

738

Méretek

243 x 167 x 27

Teljes leírás

Knowledge discovery in databases (KDD) is a well known research area in computer science. It has been marching ahead rapidly since its inception in late 1980s and has come to prominence over the last two and half decades as a discipline in its own right. With the advancements of hardware technologies, it is now feasible to collect large amount of data within a short span of time, and process them within a reasonable time limit. There are many areas of data mining that offer challenges and opportunities. This book presents some advancement in the areas on market basket database, time-stamped databases and multiple related databases. Market basket data analysis started at the beginning, and journey continues till now. Many interesting and intelligent algorithms are reported on data mining tasks. Also, a large number of association measures are invented over time, and that play significant roles in decision support applications. Mining time-stamped data has become a natural activity as real databases are dynamic, and hence grow over time, and it will continue to dominate in future. Time-based data analyses and identifying temporal patterns are two major activities in this domain. Mining multiple related databases is relatively a recent topic of data mining. Numerous problems are being reported in these days. Local patterns analysis provides a way to mine multiple large databases reasonably well. Most of the recent developments in these three domains are discussed, analyzed, and contrasted.§

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták

Leggyakrabban keresett

Categories

Authors

Publishers

Termékek

Termékek

Leggyakrabban keresett

Categories

Authors

Publishers

Termékek

Termékek

Advances in Knowledge Discovery in Databases

Információk a könyvről

Teljes leírás

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták