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MINING OF CRIMINAL MINDSET AND GEOSPATIAL CRIME PATTERN DETECTION

Anchal Oberai
2017 International Journal of Advanced Research in Computer Science  
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

Raghu Prabhakar, David Koeplinger, Kevin J. Brown, HyoukJoong Lee, Christopher De Sa, Christos Kozyrakis, Kunle Olukotun
2016 ACM SIGOPS Operating Systems Review  
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

Raghu Prabhakar, David Koeplinger, Kevin J. Brown, HyoukJoong Lee, Christopher De Sa, Christos Kozyrakis, Kunle Olukotun
2016 Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS '16  
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

Raghu Prabhakar, David Koeplinger, Kevin J. Brown, HyoukJoong Lee, Christopher De Sa, Christos Kozyrakis, Kunle Olukotun
2016 SIGARCH Computer Architecture News  
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

Raghu Prabhakar, David Koeplinger, Kevin J. Brown, HyoukJoong Lee, Christopher De Sa, Christos Kozyrakis, Kunle Olukotun
2016 SIGPLAN notices  
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

Bismita S. Jena, Cynthia Khan, Rajshekhar Sunderraman
2019 Big Data Mining and Analytics  
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]

Raghu Prabhakar, David Koeplinger, Kevin Brown, HyoukJoong Lee, Christopher De Sa, Christos Kozyrakis, Kunle Olukotun
2015 arXiv   pre-print
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

Philipp Seifer, Martin Leinberger, Ralf Lämmel, Steffen Staab
2019 The Art, Science, and Engineering of Programming  
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

Emanuele Rigato, Alessandro Minelli
2013 Evolution: Education and Outreach  
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

Anyi Xu
2018 Computer Software and Media Applications  
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]

Ravi Ranjan, Aditi Sharma
2019 arXiv   pre-print
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

Saeed Shirazi, Hamed Baziyad, Naser Ahmadi, Amir Albadvi
2020 Journal of biostatistics and epidemiology  
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

P Venkateswara rao, Dr Mohammed Ali Hussain
2018 International Journal of Engineering & Technology  
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]

Klaus Havelund, Rajeev Joshi
2014 Lecture Notes in Computer Science  
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

Amina Belhassena
2018 International Journal of Performability Engineering  
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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