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Mining Multi-dimensional Frequent Patterns Without Data Cube Construction [chapter]

Chuan Li, Changjie Tang, Zhonghua Yu, Yintian Liu, Tianqing Zhang, Qihong Liu, Mingfang Zhu, Yongguang Jiang
2006 Lecture Notes in Computer Science  
In this paper, an efficient method is proposed to mine multi-dimensional frequent patterns without data cube construction.  ...  Existing approaches for multi-dimensional frequent patterns mining rely on the construction of data cube.  ...  In this paper, an efficient method is proposed to mine multi-dimensional frequent patterns without data cube construction.  ... 
doi:10.1007/978-3-540-36668-3_28 fatcat:pfiqqquozveb7aayus2eirip3m

Mining Multi-dimensional Frequent Patterns Without Data Cube Construction [chapter]

Chuan Li, Changjie Tang, Zhonghua Yu, Yintian Liu, Tianqing Zhang, Qihong Liu, Mingfang Zhu, Yongguang Jiang
Lecture Notes in Computer Science  
In this paper, an efficient method is proposed to mine multi-dimensional frequent patterns without data cube construction.  ...  Existing approaches for multi-dimensional frequent patterns mining rely on the construction of data cube.  ...  In this paper, an efficient method is proposed to mine multi-dimensional frequent patterns without data cube construction.  ... 
doi:10.1007/11801603_28 dblp:conf/pricai/LiTYLZLZJ06 fatcat:otaz4mt7vza3jlo3nzp5ktcrku

MAIDS

Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han, Michael Welge, Loretta Auvil
2004 Proceedings of the 2004 ACM SIGMOD international conference on Management of data - SIGMOD '04  
modeling using a tilted time window framework, (2) multi-dimensional analysis using a stream "data cube" model, (3) online stream classification, (4) online frequent pattern mining, (5) online clustering  ...  Second, the system facilitates multi-dimensional analyses using a stream cube architecture [3] .  ... 
doi:10.1145/1007568.1007695 dblp:conf/sigmod/CaiCPHWA04 fatcat:3ra7xeiakrc3fm5nl73ltm2vd4

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  
Data mining or the discovery of knowledge out of databases extracts patterns, and useful and nonsubstantial, implicit, and unknown information from large databases.  ...  In this article, to avoid inappropriate rules in exploring associative rules, the online analytical processing technique is combined with the Apriori algorithm and explores associative rules on multi-dimensional  ...  So, in this article we try to discover the frequent patterns by creation of relationship between data mining and using OLAP 1 (the so-called OLAM), using the algorithms of data mining, such as Apriority  ... 
doi:10.5815/ijmecs.2018.12.03 fatcat:dip2m5wkabfelhvnja5rb2o6qu

A new multimedia information data mining method

Jin Longcun, Wan Wanggen, Cui Bin, Yu Xiaoqing, Xu Hongwei
2009 Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation - GEC '09  
Most of the existing frequent item sets mining techniques are based up on Multimedia data mining.  ...  The data bases tested in the Multimedia Miner System is constructed. Each Image contains two descriptors: a feature descriptor and a Layout descriptor.  ...  Mining Frequent of shape, texture, image, topology, motion, title. Data, pp: 1-12, May. Patterns without Candidate A set of descriptor schemes where each scheme Generation, Proc.  ... 
doi:10.1145/1543834.1543970 dblp:conf/gecco/LongcunWBYX09 fatcat:7furnvhrhne4bppkwjzcs2byw4

Real-Time Knowledge Discovery and Dissemination for Intelligence Analysis

Bhavani M. Thuraisingham, Latifur Khan, Murat Kantarcioglu, Sonia Chib, Jiawei Han, Sang Hyuk Son
2009 2009 42nd Hawaii International Conference on System Sciences  
This paper describes the issues and challenges for real-time knowledge discovery and then discusses approaches and challenges for real-time data mining and stream mining.  ...  The stream data cubes so constructed are much smaller than those constructed from the raw stream data but will still be effective for many multi-dimensional stream data analysis tasks.  ...  Multidimensional data stream analysis using stream cubes For multi-dimensional analysis of data streams, we proposed a stream cube architecture (Chen+02, Han+05) for efficient and effective multi-dimensional  ... 
doi:10.1109/hicss.2009.363 dblp:conf/hicss/ThuraisinghamKKCHS09 fatcat:euta372kxnfwngtpaf6gthsub4

Research Challenges for Data Mining in Science and Engineering [chapter]

Jiawei Han, Jing Gao
2008 Chapman & Hall/CRC Data Mining and Knowledge Discovery Series  
, and understanding of patterns and knowledge, (3) stream data mining, (4) mining moving object data, RFID data, and data from sensor networks, (5) spatiotemporal and multimedia data mining, (6) mining  ...  text, Web, and other unstructured data, (7) data cube-oriented multidimensional online analytical mining, (8) visual data mining, and (9) data mining by integration of sophisticated scientific and engineering  ...  Besides traditional data cubes, there are recent studies on construction of regression cubes [6] , prediction cubes [5] , and other scalable high-dimensional data analysis methods [18] .  ... 
doi:10.1201/9781420085877.pt1 fatcat:ljs2uybdofgkxfpouawfekdaz4

EventCube

Fangbo Tao, Heng Ji, Rucha Kanade, Anne Kao, Qi Li, Yanen Li, Cindy Lin, Jialu Liu, Nikunj Oza, Ashok Srivastava, Rod Tjoelker, Kin Hou Lei (+10 others)
2013 Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '13  
agencies, and academic datasets constructed from the DBLP and web data.  ...  The system has high potential to be extended in many powerful ways and serve as a general platform for search, OLAP (online analytical processing) and data mining on integrated text and structured data  ...  , construct the text-rich data cube and support powerful search and mining functions.  ... 
doi:10.1145/2487575.2487718 dblp:conf/kdd/TaoLHZCDDDGJKKLLLLOSTWZZ13 fatcat:2ijfd37dvbfb5grkad3osfy2xm

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  
preprocessing, where we define the building data cube, an exploratory analysis to 122 frame our multi-dimensional analytics, followed by pre-mining, mining, confirmatory analysis and post-mining.  ...  This study addresses these concerns by putting forward a generic stepwise multidimensional data mining 5 framework tailored to building data, leveraging the dimensional-structures of data cubes.  ...  This step is consistently required for mining algorithms such as Association Rule Mining 405 (ARM), i.e., the frequent-pattern growth and Apriori algorithms that can only handle categorical data [7  ... 
doi:10.1016/j.enbuild.2021.111195 fatcat:7fa7ir2d5jaizfmiqwf7py2nfa

Frequent pattern mining: current status and future directions

Jiawei Han, Hong Cheng, Dong Xin, Xifeng Yan
2007 Data mining and knowledge discovery  
Frequent pattern mining has been a focused theme in data mining research for over a decade.  ...  We believe that frequent pattern mining research has substantially broadened the scope of data analysis and will have deep impact on data mining methodologies and applications in the long run.  ...  classification (Sect. 4.1), (2) clustering (Sect. 4.2), (3) cube computation and analysis (Sect. 4.3), and (4) gradient mining and multi-dimensional discriminant analysis (Sect.4.4).  ... 
doi:10.1007/s10618-006-0059-1 fatcat:fpblaafhurfbtiimurret4idde

FlowCube: Constructuing RFID FlowCubes for Multi-Dimensional Analysis of Commodity Flows

Hector Gonzalez, Jiawei Han, Xiaolei Li
2006 Very Large Data Bases Conference  
This commodity flow contains rich multi-dimensional information on the characteristics, trends, changes and outliers of commodity movements.  ...  The movement trails of such RFID data form gigantic commodity flowgraph representing the locations and durations of the path stages traversed by each item.  ...  Flowcube materialization combines two of the most expensive methods in data mining, cube computation, and frequent pattern mining.  ... 
dblp:conf/vldb/GonzalezHL06 fatcat:2kjrmhnihnaero2kg4rrfxpnhm

Association Rule Mining in Multiple, Multidimensional Time Series Medical Data

Gaurav N. Pradhan, B. Prabhakaran
2017 Journal of Healthcare Informatics Research  
We propose a two-stage approach for this purpose: in the first stage, our emphasis is on discovering frequent patterns in multiple time series by doing sequential mining across time slices.  ...  Each EMG time series data is associated with quantitative attributes such as energy of the signal and onset time, which are required to be mined along with EMG time series patterns.  ...  periodic patterns [21, 26] , constructed decision trees to mine patterns in streaming data [17, 27, 48, 57] , and mined tree-like patterns in large data sets [14] .  ... 
doi:10.1007/s41666-017-0001-x pmid:35415394 pmcid:PMC8981804 fatcat:i2wmr2yv5vedtjoj3kb4ag3cky

A Conceptual Model for Combining Enhanced OLAP and Data Mining Systems

Muhammad Usman, Sohail Asghar, Simon Fong
2009 2009 Fifth International Joint Conference on INC, IMS and IDC  
Furthermore, the proposed model offers directions to improving cube construction time and visualization over the data cube.  ...  On the other hand, data mining techniques (DM) are strong at detecting patterns and mining knowledge from historical data.  ...  [3] introduced a hierarchy-driven compression technique for the advanced visualization of multi-dimensional cubes.  ... 
doi:10.1109/ncm.2009.354 dblp:conf/ncm/UsmanAF09 fatcat:uxxhnbm3vfdmnmu7agul6oii4i

Research on XML Data Mining Model Based on Multi-level Technology

Jie Ma
2014 International Journal of Database Theory and Application  
However, how to mine value information from massive XML documents is still in its infancy. In this paper, we study the basic  ...  ., [13] proposed a data cube model named XTree Cube whose constructing data cube is based on a tree structure.  ...  This structure reduces the data redundancy of XML data cube by saving the relationship between dimensions in the XML file and increases the efficiency of data cube constructing and data querying.  ... 
doi:10.14257/ijdta.2014.7.1.08 fatcat:xegau57ec5ga5eexd7r5mkhgqy

Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams

Jiawei Han, Yixin Chen, Guozhu Dong, Jian Pei, Benjamin W. Wah, Jianyong Wang, Y. Dora Cai
2005 Distributed and parallel databases  
In this paper, we propose an architecture, called stream cube, to facilitate on-line, multi-dimensional, multi-level analysis of stream data.  ...  For fast online multi-dimensional analysis of stream data, three important techniques are proposed for efficient and effective computation of stream cubes.  ...  We also tested it for some industry data sets and got similar performance results. However, we cannot discuss the results here due to the confidentiality of the data sets.  ... 
doi:10.1007/s10619-005-3296-1 fatcat:4voq77s7bresderdwky3ivmamq
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