[PDF][PDF] Spatial data mining: progress and challenges survey paper
Spatial data mining, ie, mining knowledge from large amounts of spatial data, is a highly
demanding eld because huge amounts of spatial data have been collected in various …
demanding eld because huge amounts of spatial data have been collected in various …
A review of the state of the art in business intelligence software
Business Intelligence (BI) is known to make smart decisions in various fields. BI proves
beneficial for better-visualising of data through reports, charts, ad-hoc queries, dashboards …
beneficial for better-visualising of data through reports, charts, ad-hoc queries, dashboards …
[PDF][PDF] A density-based algorithm for discovering clusters in large spatial databases with noise
Clustering algorithms are attractive for the task of class identification in spatial databases.
However, the application to large spatial databases rises the following requirements for …
However, the application to large spatial databases rises the following requirements for …
Density-based clustering in spatial databases: The algorithm gdbscan and its applications
The clustering algorithm DBSCAN relies on a density-based notion of clusters and is
designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper …
designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper …
[LLIBRE][B] Advanced data mining techniques
The intent of this book is to describe some recent data mining tools that have proven
effective in dealing with data sets which often involve unc-tain description or other …
effective in dealing with data sets which often involve unc-tain description or other …
[LLIBRE][B] Data mining and knowledge discovery
This chapter attempts a concise introduction to data mining and knowledge discovery. First,
we introduce the necessary nomenclature and definitions, discuss the background of the …
we introduce the necessary nomenclature and definitions, discuss the background of the …
[LLIBRE][B] Geographic data mining and knowledge discovery
The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and
Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data …
Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data …
Key issues in information systems management: 1994-95 SIM Delphi results
JC Brancheau, BD Janz, JC Wetherbe - MIS quarterly, 1996 - JSTOR
Over the past 15 years, the Society for Information Management (SIM) has periodically
surveyed its members to determine the most critical issues in IS management. Again in 1994 …
surveyed its members to determine the most critical issues in IS management. Again in 1994 …
Visualization techniques for mining large databases: A comparison
Visual data mining techniques have proven to be of high value in exploratory data analysis,
and they also have a high potential for mining large databases. In this article, we describe …
and they also have a high potential for mining large databases. In this article, we describe …
The data avalanche is here. Shouldn't we be digging?
HJ Miller - Journal of Regional Science, 2010 - Wiley Online Library
We have access to an unprecedented amount of fine‐grained data on cities, transportation,
economies, and societies, much of these data referenced in geo‐space and time. There is a …
economies, and societies, much of these data referenced in geo‐space and time. There is a …