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MINING OF CRIMINAL MINDSET AND GEOSPATIAL CRIME PATTERN DETECTION
2017
International Journal of Advanced Research in Computer Science
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Data mining is the practice of examining large preexisting databases in order to generate new and useful information. ...
The current scenario is witnessing an exponential increase in the crime rate in many countries. ...
As an extension to the existing contribution in the field of criminology, we have used K-Means clustering algorithm. ...
doi:10.26483/ijarcs.v8i9.4862
fatcat:fuzdil6jjveuldmuolh364fv5y
Generating Configurable Hardware from Parallel Patterns
2016
ACM SIGOPS Operating Systems Review
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In this paper, we identify two important optimizations for using parallel patterns to generate efficient hardware: tiling and metapipelining. ...
Functional languages with parallel patterns are a better fit for hardware generation because they provide high-level abstractions to programmers with little experience in hardware design and avoid many ...
Strip mining transformation rules for parallel patterns defined in Figure 2 . ...
doi:10.1145/2954680.2872415
fatcat:6ro33h2c3bbu7hf2tcj2x4dwx4
Generating Configurable Hardware from Parallel Patterns
2016
Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS '16
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In this paper, we identify two important optimizations for using parallel patterns to generate efficient hardware: tiling and metapipelining. ...
Functional languages with parallel patterns are a better fit for hardware generation because they provide high-level abstractions to programmers with little experience in hardware design and avoid many ...
Strip mining transformation rules for parallel patterns defined in Figure 2 . ...
doi:10.1145/2872362.2872415
dblp:conf/asplos/PrabhakarKBLSKO16
fatcat:kgbcr4dik5ek7njjzzp77hsluy
Generating Configurable Hardware from Parallel Patterns
2016
SIGARCH Computer Architecture News
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In this paper, we identify two important optimizations for using parallel patterns to generate efficient hardware: tiling and metapipelining. ...
Functional languages with parallel patterns are a better fit for hardware generation because they provide high-level abstractions to programmers with little experience in hardware design and avoid many ...
Strip mining transformation rules for parallel patterns defined in Figure 2 . ...
doi:10.1145/2980024.2872415
fatcat:eaedfjmytvauhltwmxgttnzxn4
Generating Configurable Hardware from Parallel Patterns
2016
SIGPLAN notices
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In this paper, we identify two important optimizations for using parallel patterns to generate efficient hardware: tiling and metapipelining. ...
Functional languages with parallel patterns are a better fit for hardware generation because they provide high-level abstractions to programmers with little experience in hardware design and avoid many ...
Strip mining transformation rules for parallel patterns defined in Figure 2 . ...
doi:10.1145/2954679.2872415
fatcat:kplhjc26grfhle6koxjepe7pnq
High performance frequent subgraph mining on transaction datasets: A survey and performance comparison
2019
Big Data Mining and Analytics
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Frequent subgraph mining is one such area where the task is to find overly recurring patterns/subgraphs. ...
In the past few years several research groups have attempted to handle the frequent subgraph mining (FSM) problem in multiple ways. ...
In pattern growth algorithms, the subgraph extension can be both breadth-first and depth-first, whereas the DFS approach is best suited for better memory usage. ...
doi:10.26599/bdma.2019.9020006
dblp:journals/bigdatama/JenaKS19
fatcat:lkmaerj3yvdkrkodrt6jwn7asm
Generating Configurable Hardware from Parallel Patterns
[article]
2015
arXiv
pre-print
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In this paper, we identify two optimizations that are important when using par- allel patterns to generate hardware: tiling and metapipelining. ...
In recent years the computing landscape has seen an in- creasing shift towards specialized accelerators. ...
However, in the strip mined version, we still fully calculate the closest centroid for each point. This requires the entirety of centroids to be read for each point. ...
arXiv:1511.06968v1
fatcat:y2xzdhaba5gjdiyv6xfu4lxwvq
Semantic Query Integration With Reason
2019
The Art, Science, and Engineering of Programming
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In addition, we demonstrate a concrete implementation of the approach, by extending the Scala programming language. ...
In particular, semantic data based on RDF and OWL fuels use cases ranging from general knowledge graphs to domain specific knowledge in various technological or scientific domains. ...
In order to stay within 13:20 the standard Scala pipeline, rather than creating a new compiler, we rely on Scala compiler extensions instead [48] . ...
doi:10.22152/programming-journal.org/2019/3/13
fatcat:is3q4rxbvfgwxnfzpshw6l6ivu
The great chain of being is still here
2013
Evolution: Education and Outreach
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Professional papers in evolutionary biology continue to host expressions in agreement with the preevolutionary metaphor of the scala naturae (the great chain of being), when contrasting 'lower' to 'higher ...
Out of a total of 67,413 papers, the unexpectedly high figure of 1,287 (1.91%) returned positive hits from our search for scala naturae language. ...
Apart from the strict linearity (as opposed to branching pattern) of the suggested arrangement, and its extension spanning the whole diversity of Earth's natural objects (Linnaeus' tria Regna Naturae, ...
doi:10.1186/1936-6434-6-18
fatcat:glhnc5d24vanhirtd2tfh5ctdq
Analysis of Quality Factors of Online Video Streaming Based on Measurement
2018
Computer Software and Media Applications
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All the system preparation, debugging and testing are carried out in this experimental platform. ...
The platform used in the experiment is the Linux Ubuntu12.04LTS , the application is the Apache Spark platform. ...
It is widely used in many fields, including machine learning, data mining, pattern recognition, decision support, image analysis and biological information. ...
doi:10.24294/csma.v1i1.254
fatcat:pufouqarqnfcdly737dwsed3ve
Evaluation of Frequent Itemset Mining Platforms using Apriori and FP-Growth Algorithm
[article]
2019
arXiv
pre-print
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Companies are recognizing that big data can be used to make more accurate predictions, and can be used to enhance the business with the help of appropriate association rule mining algorithm. ...
Conclusion The study in this work presents Flink based MR Apriori and Parallel FP Growth which is applied to mine frequent patterns from extensive datasets. ...
rising the frequent item sets as per the support degree, at that point mines frequent item sets in the cluster. ...
arXiv:1902.10999v1
fatcat:jevdnzippfesrgz5asbputaauq
A New Application of Louvain Algorithm for Identifying Disease Fields Using Big Data Techniques
2020
Journal of biostatistics and epidemiology
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Methods: This paper detects disease areas based on combination of big data and graph mining methods on drug prescriptions. ...
and aim: Recently, the use of data science techniques in healthcare has been increased remarkably. Community detection as one the important methods of data science is utilized in the health domain. ...
The other purpose was the sparsity of data in which led us applying graph mining method instead of a data mining method. ...
doi:10.18502/jbe.v5i3.3613
fatcat:tj7s47233ff6lei4372w7cnv64
A Novel Filtered Based Grid partitioning multiple reducers skyline computation using Hadoop framework
2018
International Journal of Engineering & Technology
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Another major limitation with the sequential spatial pattern mining models is that a large number of spatial candidate sets are generated with duplicate event sets. ...
In this model, a filtered based k-nearest neighbor approach is used to eliminate the sparsity or empty patterns using the hadoop framework. ...
Fang introduced a faster technique in order to mine spatial skyline co-location patterns [5] . ...
doi:10.14419/ijet.v7i2.7.10923
fatcat:sx5lgrifajerdjv3h57pwqonbe
Comprehension of Spacecraft Telemetry Using Hierarchical Specifications of Behavior
[chapter]
2014
Lecture Notes in Computer Science
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The language is implemented as an internal DSL in the Scala programming language that synthesizes rules from patterns of specification behavior. ...
A key challenge in operating remote spacecraft is that ground operators must rely on the limited visibility available through spacecraft telemetry in order to assess spacecraft health and operational status ...
Embedding as an Internal DSL in Scala A variant of the idealized example shown in Figure 5 , formalized in our internal Scala DSL, is shown in Figure 7 . ...
doi:10.1007/978-3-319-11737-9_13
fatcat:fo3cr2cri5dstc7kdrlucojeou
A Survey on Trajectory Big Data Processing
2018
International Journal of Performability Engineering
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Furthermore, this paper reviews an extensive collection of existing applications of movement objects, including trajectory data mining and frequent trajectory. ...
Therefore, large-scale trajectory data has received increasing attention in research fields as well as in industry. ...
Many works introduced the sequential pattern mining based on frequent patterns and association rules mining in trajectories. ...
doi:10.23940/ijpe.18.02.p13.320333
fatcat:m74w3cfajrbzpamzpghfyrm6am
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