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Spatial Subgroup Mining Integrated in an Object-Relational Spatial Database [chapter]

Willi Klösgen, Michael May
2002 Lecture Notes in Computer Science  
Search strategies of data mining algorithms are efficiently integrated with queries in an object-relational query language and executed in a database to enable scalability for spatial data.  ...  SubgroupMiner is an advanced subgroup mining system supporting multirelational hypotheses, efficient data base integration, discovery of causal subgroup structures, and visualization based interaction  ...  The formulation of queries depends on nonatomic data-types for the geometry, spatial operators based on computational geometry, grouping and aggregation.  ... 
doi:10.1007/3-540-45681-3_23 fatcat:3cny5ce3abdyvam3pnqowwbeda

Discovering Dynamic Classification Hierarchies in OLAP Dimensions [chapter]

Nafees Ur Rehman, Svetlana Mansmann, Andreas Weiler, Marc H. Scholl
2012 Lecture Notes in Computer Science  
Such capturing of the dynamic characteristic of the data adds more intelligence to the analysis and extends the limits of OLAP.  ...  Discovered elements are dynamic by nature and evolve along with the underlying data set.  ...  Related Work The work related to our contribution can be subdivided into two major sections: 1) research on integrating data warehousing and mining and 2) knowledge discovery from Twitter data.  ... 
doi:10.1007/978-3-642-34624-8_48 fatcat:lmynmjnewbev7krdfpeadz4rry

Mine Evolution Dynamic Monitor Based on Dynamic Object-Oriented Model

Jiang Yang-Ming, Dong Qin-Lin
2011 Procedia Engineering  
Secondly, the author studies object-oriented spatial-temporal data model based on the characteristics of mine. Thirdly, the object-oriented spatio-temporal mining data model is designed.  ...  Firstly, it is used in mining prototype and mine data organization research, include classifying the mining space entities, analyzing the characteristics of mining entities, the resources of mining entities  ...  The entities in digital mine are instances of the Spatial-Temporal-Attribute Class, which is the aggregation of Spatial Class, Temporal Class, and Attribute Class.  ... 
doi:10.1016/j.proeng.2011.11.2423 fatcat:67j7nj6ovrep5f5fi5uks6ynle

Extending ER models to capture database transformations to build data sets for data mining

Carlos Ordonez, Sofian Maabout, David Sergio Matusevich, Wellington Cabrera
2014 Data & Knowledge Engineering  
In a data mining project developed on a relational database, a significant effort is required to build a data set for analysis.  ...  The main reason is that, in general, the database has a collection of normalized tables that must be joined, aggregated and transformed in order to build the required data set.  ...  The main issue is that relational queries in a data mining project create many temporary tables (static) or views (dynamic), which are not represented as entities in an existing ER model.  ... 
doi:10.1016/j.datak.2013.11.002 fatcat:ukyccbfe3fe4faaeznfi5ba4eu

Dynamic index selection in data warehouses

Stephane Azefack, Kamel Aouiche, Jerome Darmont
2007 2007 Innovations in Information Technologies (IIT)  
In this paper, we present an automatic, dynamic index selection method for data warehouses that is based on incremental frequent itemset mining from a given query workload.  ...  Analytical queries defined on data warehouses are complex and use several join operations that are very costly, especially when run on very large data volumes.  ...  Related work Index selection in data warehouses The index selection problem has been studied for many years in databases, but adaptations to data warehouses are few.  ... 
doi:10.1109/iit.2007.4430394 fatcat:rhepubhyrjg75mkpwr65muhvxq

Towards Integrated Study of Data Management and Data Mining

Zhengxin Chen
2015 Procedia Computer Science  
Although DBMS and GrC have different focuses, the advent of Big Data has brought these two research areas closer to each other, because Big Data requires integrated study of data storage and analysis.  ...  Starting with an examination of granularities from a database perspective, we discuss new challenges of Big Data. We then turn to data management issues related to GrC.  ...  Acknowledgements Research on extended keyword search is a joint research with PhD student R. Patil at Data Science Lab.  ... 
doi:10.1016/j.procs.2015.07.117 fatcat:csbi4fr7tbcbpizxnjc3dvolfy

A model for fast web mining prototyping

Álvaro Pereira, Ricardo Baeza-Yates, Nivio Ziviani, Jesús Bisbal
2009 Proceedings of the Second ACM International Conference on Web Search and Data Mining - WSDM '09  
Abstracting from the idiosyncrasies of raw Web data representations facilitates the inherently iterative mining process.  ...  The underlying conceptual model of WIM provides its users with a level of abstraction appropriate for prototyping and experimentation throughout the Web data mining task.  ...  Aggregate Operator Aggregate is used to combine values of a given attribute of a relation.  ... 
doi:10.1145/1498759.1498816 dblp:conf/wsdm/PereiraBZB09 fatcat:ncyv2k4bzzdrth4gvqnvwrtfiq

Database Transformation to Build Dataset for Generation of Decision Tree and Extended ER Model

Archana A.Chaudhari, Harmeet Kaur Khanuja
2015 International Journal of Computer Applications  
In Data mining project most of the time consuming task is to prepare a required data set for data mining analysis because in general the relational database has collection of tables and views that must  ...  Horizontal aggregations is extension of standard SQL aggregation for building data sets with a horizontal denormalized layout, which is input for most of the data mining algorithms.  ...  In relational database environment, most of the time is spend to build normalized data-set in order to use it as input for a data mining algorithm.  ... 
doi:10.5120/20800-3482 fatcat:ywlbfrmxsbgqbgprfftqth2qu4

Discovering OLAP dimensions in semi-structured data

Svetlana Mansmann, Nafees Ur Rehman, Andreas Weiler, Marc H. Scholl
2012 Proceedings of the fifteenth international workshop on Data warehousing and OLAP - DOLAP '12  
OLAP cubes are obtained from the input data based on the available attributes and known relationships between them.  ...  Knowledge discovery techniques coupled with human expertise enable structural enrichment of the original data beyond the scope of the existing methods for obtaining multidimensional models from relational  ...  Besides, one can aggregate recent facts along a historical version of a dynamic characteristic or aggregate historical data along the current state of the changing category.  ... 
doi:10.1145/2390045.2390048 dblp:conf/dolap/MansmannRWS12 fatcat:vewta2bz2zahzkapuejgg3tsbq

Discovering OLAP dimensions in semi-structured data

Svetlana Mansmann, Nafees Ur Rehman, Andreas Weiler, Marc H. Scholl
2014 Information Systems  
OLAP cubes are obtained from the input data based on the available attributes and known relationships between them.  ...  Knowledge discovery techniques coupled with human expertise enable structural enrichment of the original data beyond the scope of the existing methods for obtaining multidimensional models from relational  ...  Besides, one can aggregate recent facts along a historical version of a dynamic characteristic or aggregate historical data along the current state of the changing category.  ... 
doi:10.1016/j.is.2013.09.002 fatcat:377h5bhyvvfg7j5j6cbgo7xh3a

Relational Mining in Spatial Domains: Accomplishments and Challenges [chapter]

Donato Malerba, Michelangelo Ceci, Annalisa Appice
2011 Lecture Notes in Computer Science  
The rapid growth in the amount of spatial data available in Geographical Information Systems has given rise to substantial demand of data mining tools which can help uncover interesting spatial patterns  ...  We advocate the relational mining approach to spatial domains, due to both various forms of spatial correlation which characterize these domains and the need to handle spatial relationships in a systematic  ...  UnMASC [12] is based on both the idea of the sequential covering algorithm developed in the relational data mining system CrossMine [39] and on aggregation-based methods originally proposed for relational  ... 
doi:10.1007/978-3-642-21916-0_2 fatcat:yf3wtcuhd5edfklgaezk4d7pei

A Relational Data Warehouse for Multidimensional Process Mining [chapter]

Thomas Vogelgesang, H.-Jürgen Appelrath
2017 Lecture Notes in Business Information Processing  
Multidimensional process mining adopts the concept of data cubes to split event data into a set of homogenous sublogs according to case and event attributes.  ...  We propose to adopt well-established approaches from the data warehouse domain based on relational databases to provide acceptable performance.  ...  While Section 4 presents the logical data model of the underlying data warehouse, Section 5 explains its mapping on a relational database schema.  ... 
doi:10.1007/978-3-319-53435-0_8 fatcat:4f7yg45jxvahfive6srypbsiji

Multi-Relation Aware Temporal Interaction Network Embedding [article]

Ling Chen, Shanshan Yu, Dandan Lyu, Da Wang
2021 arXiv   pre-print
Based on historical interactions, MRATE mines historical interaction relations, common interaction relations, and interaction sequence similarity relations to obtain the neighbor based embeddings of interacting  ...  Experiments are conducted on three public temporal interaction network datasets, and the experimental results show the effectiveness of MRATE.  ...  The local relation graph of node (a user or an item). , ℰ , ℛ , The sets of nodes, edges, relation types, and relation attributes in . , , Edge, relation type, and relation attribute. , Time attribute  ... 
arXiv:2110.04503v1 fatcat:lnegvqjk5ng3hnl6t3gpxekpam

An Attribtue-Based Statistic Model for Privacy Impact Assessment

Yong Wang, Jun Liu
2016 2016 International Conference on Collaboration Technologies and Systems (CTS)  
PII is often the target of attacks, and loss of PII could result in identity theft.  ...  Personally Identifiable Information (PII) includes any information that can be used to distinguish or trace an individual's identity such as name, social security number, date and place of birth, mother's  ...  A document filter will be used to identify these three types of data sources. Text mining will then be conducted on these documents.  ... 
doi:10.1109/cts.2016.0117 dblp:conf/cts/WangL16 fatcat:i6btuwjhtng53aygt2hcydrvrm

Relational Data Mining and GUHA

Tomás Karban
2005 Databases, Texts, Specifications, Objects  
This paper presents an extension of GUHA method for relational data mining of association rules.  ...  Because ILP methods are well established in the area of relational data mining, a feature comparison with GUHA is presented. Both methods suffer from the explosion of the hypotheses space.  ...  Relational data mining studies methods for KDD that can use more than one data table directly, without transforming the data into a single table first and then looking for patterns in such an engineered  ... 
dblp:conf/dateso/Karban05 fatcat:yurn47t6wracdlcxbfbrp2n6zq
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