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Data Mining of Network Events with Space-Time Cube Application

Viktor Putrenko, Nataliia Pashvnska, Sergiy Nazarenko
2018 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP)  
The scientific and practical principles of data analysis are proposed with the help of methodology of spacetime cube construction as one of the types of data mining with spatial-temporal distribution.  ...  spatio-temporal clusters in the data that can be used during data structuring in order to provide safety and react quickly to hazardous situations.  ...  Fig. 1 . 1 Bin display in the space-time cube (Source: ESRI ArcMap [20]) Fig. 2 . 2 3D visualization of space-time cube for western regions of Ukraine Fig. 3 . 3 Transformation of space-time cube for  ... 
doi:10.1109/dsmp.2018.8478437 fatcat:fxu6fkx7krd4rbyj6g53akhfgu

Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data

Julien Leprince, Clayton Miller, Wim Zeiler
2021 Energy and Buildings  
Characteristics of the cube-space data 85 mining scheme involve the following three steps: (1) relying on cube space to determine the space of candidates for mining, (2) 86 employing OLAP queries to explore  ...  This navigation across multiple cube spaces of interest is called OnLine Analytical Processing (OLAP) [27].  ...  We .4 Towards multi-cube-space visualization identical mining tasks at every step of the process.  ... 
doi:10.1016/j.enbuild.2021.111195 fatcat:7fa7ir2d5jaizfmiqwf7py2nfa

Efficient Constraint-Based Exploratory Mining on Large Data Cubes [chapter]

Cuiping Li, Shengen Li, Shan Wang, Xiaoyong Du
2002 Lecture Notes in Computer Science  
In this paper, we investigate the optimization methods by pushing several constraints into the mining process.  ...  However, when the data is large, it is hard to materialize the whole cube due to the limitation of both space and time.  ...  However, as discussed in section 1, since the data is too large and it is hard to materialize the whole data cube with high dimensionality due to the limitations of both space and time, exploratory mining  ... 
doi:10.1007/3-540-47887-6_38 fatcat:5pefaw7dqjejvfxo5gyxucjx5e

Data Mining Of Network Events With Space-Time Cube Application

Viktor Putrenko, Nataliia Pashynska, Sergii Nazarenko
2018 Zenodo  
It is suggested to use the methodology of space-time cube construction as one of the types of data mining with spatial-temporal distribution.  ...  spatio-temporal clusters in the data that can be used during data structuring in order to provide safety and react quickly to hazardous situations.  ...  space-time cube  ... 
doi:10.5281/zenodo.1472753 fatcat:y3iqtqv73ranfihcbedjjyzi3m

A Relational Data Warehouse for Multidimensional Process Mining [chapter]

Thomas Vogelgesang, H.-Jürgen Appelrath
2017 Lecture Notes in Business Information Processing  
In this paper, we present the underlying relational concepts of PMCube, a datawarehouse-based approach for multidimensional process mining.  ...  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.  ...  However, we omit the corresponding charts due to space limitations. Conclusions Multidimensional process mining adopts the concept of data cubes to the field of process mining.  ... 
doi:10.1007/978-3-319-53435-0_8 fatcat:4f7yg45jxvahfive6srypbsiji

High Performance OLAP and Data Mining on Parallel Computers [chapter]

Sanjay Goil, Alok Choudhary, Paul Stolorz, Ron Musick
1997 Scalable High Performance Computing for Knowledge Discovery and Data Mining  
Knowledge discovery and data mining requires complex operations on the underlying data which can be very expensive in terms of computation time..  ...  High performance parallel systems can reduce this analysis time. Precomputed aggregate calculations in a Data Cube can provide efficient query processing for OLAP applications.  ...  We run each calculation for 20 different δ values, ranging from 0.001 to 0.02 in steps of 0.01. Figure 24 shows the time for these calculations on Current Sales data on 4, 8, 16 and 32 processors.  ... 
doi:10.1007/978-1-4615-5669-5_3 fatcat:h4dkh4j655fqjirev4f5nmibbq

Cube Index: A Text Index Model for Retrieval and Mining

B. Janet, A. V. Reddy
2010 International Journal of Computer Applications  
Text retrieval, Analysis, Mining and Knowledge management have gained a lot of importance in a time when we drown in information but are starved for knowledge.  ...  In this paper, we propose a novel Index that uses a Text Cube model to store the text information similar to a data cube in Data Mining.  ...  So resolving a query [7] needs 50% lesser processing time as it directly locates the phrase. It is just dicing the cube to suit the query. Thus retrieval time is reduced.  ... 
doi:10.5120/192-330 fatcat:ciwvthef45eg7mohyckpkv7ehe

Knowledge Extraction and Analysis to Evaluate the Financial Performance of an Organization Using OLAM

Mahtab Ebrahimi, Department of Electrical and Computer Engineering, Islamic Azad University Damavand Branch Tehran, Iran
2018 International Journal of Modern Education and Computer Science  
Using the multidimensional data mining that integrates online analytical processing with data mining, knowledge can be found in multidimensional databases.  ...  In large organizations, most data are created at the passage of time.  ...  spaces and ultimately OLAM.  ... 
doi:10.5815/ijmecs.2018.12.03 fatcat:dip2m5wkabfelhvnja5rb2o6qu


Lamia Oukid, Omar Boussaid, Nadjia Benblidia, Fadila Bentayeb
2016 International Journal of Data Warehousing and Mining  
To alleviate this shortcoming, on-line analytical processing in text cubes requires new analysis operators adapted to textual data.  ...  In this paper, the authors propose a new aggregation operator named Text Label (TLabel), based on text categorization. Their operator aggregates textual data in several classes of documents.  ...  Furthermore, Text Mining is defined as a knowledge-intensive process in which a user interacts with a document collection over time by using a suite of analysis tools (Felman & Sanger, 2007) .  ... 
doi:10.4018/ijdwm.2016100103 fatcat:wltcskm6jvf2bdqmnx5saxxsf4

Temporal and Spatial Association Rules Strong Mining Algorithm Based on Hierarchical Reasoning Parameters

Zhang Xuewu
2017 International Journal of Database Theory and Application  
In order to conquer these disadvantages, the adaptive variation rate is introduced in this paper and the method for the operator selection during the genetic process is improved in order to specifically  ...  Such problems as premature convergence and local optimal solution universally exist in the application of traditional genetic algorithm to the association rules mining, so a lot of time is needed for extracting  ...  process to occupy a lot of memory, so FP-Growth algorithm has obvious longer operation time than AGA-ARM algorithm under the same memory condition.  ... 
doi:10.14257/ijdta.2017.10.1.06 fatcat:oobvfwwifreevkkth5hj3uh5pq

Intelligent Data Analysis in the EMERCOM Information System

Sharafutdinova Elena, Avdeenko Tatiana, Maxim Bakaev
2017 Journal of Physics, Conference Series  
In particular, some operational OLAP reports and an example of multi-dimensional information space based on OLAP Data Warehouse are presented.  ...  Besides the general description of the system, we put forward OLAP and Data Mining-based approaches towards the intelligent analysis of the data accumulated in the database.  ...  In the OLAP-model of the information space, the data are organized as multi-dimensional cubes each of which represents one of the studied processes.  ... 
doi:10.1088/1742-6596/803/1/012142 fatcat:i5iws2auuvgjdnm3ykg76cjo5u

3D Seismic Surveying in Kevitsa Open Pit Mine

Petri Valasti, Alireza Malehmir, Chris Wijns
2012 ASEG Extended Abstracts  
After exhaustive processing first by field operator following by the work of Uppsala University, finally a 3D seismic cube was produced a year after starting the project.  ...  The survey employed a shot point spacing of 45 m, a shot line spacing of 80 m, geophone spacing of 15 m and geophone line spacing of 70 m.  ... 
doi:10.1071/aseg2012ab310 fatcat:ccdblgwqvjcjpapcvfhgla2xmu


Y. L. Lu, C. W. Liu, J. W. Li, J. W. Jiang
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Human society has come into the era of big data in time and space.  ...  And to achieve space-time big data in the geographical space microscopic and the macroscopic unification cognition.  ...  The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3/W10, 2020 International Conference on Geomatics in the Big Data Era (ICGBD), 15-17 November  ... 
doi:10.5194/isprs-archives-xlii-3-w10-25-2020 fatcat:l2qprss27rgcpfoftxw3gm6p74

Multi-threaded Frequent Itemset Mining on Temporal Data

Pradnya Patil
2018 International Journal for Research in Applied Science and Engineering Technology  
To define time cubes data density is defined to avoid overestimating the time period. To improve the system performance the system is implemented in multi-threaded environment.  ...  The Apriori algorithm is used for Itemset mining. This data cube information provide periodic or time interval specific frequent Itemset.  ...  The processing is time consuming. The itemset should be mined for every time cube. III. PROBLEM FORMULATION Extraction of frequent Itemset from a transaction data is important task in data mining.  ... 
doi:10.22214/ijraset.2018.6284 fatcat:3bsjm4tqlzhxnbmkmmr6gwnmua

Finding Actionable Knowledge via Automated Comparison

Lei Zhang, Bing Liu, Jeffrey Benkler, Chi Zhou
2009 Proceedings / International Conference on Data Engineering  
At the end of 2005, we built a data mining system for Motorola (called Opportunity Map) to enable the user to explore the space of a large number of rules in order to find actionable knowledge.  ...  The approach is based on the concept of rule cubes and operations on rule cubes. A rule cube is similar to a data cube, but stores rules.  ...  Kaidi implemented the first version of Opportunity Map, which was deployed in Motorola at the end of 2005. We also thank Weimin Xiao from Motorola Labs for many useful discussions.  ... 
doi:10.1109/icde.2009.135 dblp:conf/icde/ZhangLBZ09 fatcat:qvpeetswrvetdiuv5krxvykaaa
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