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data mining fp growth | data mining fp growth algorithm | data mining fp tree example | fp growth
 
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In this video FP growth algorithm is explained in easy way in data mining Thank you for watching share with your friends Follow on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy data mining algorithms in hindi, data mining in hindi, data mining lecture, data mining tools, data mining tutorial, data mining fp tree example, fp growth tree data mining, fp tree algorithm in data mining, fp tree algorithm in data mining example, fp tree in data mining, data mining fp growth, data mining fp growth algorithm, data mining fp tree example, data mining fp tree example, fp growth tree data mining, fp tree algorithm in data mining, fp tree algorithm in data mining example, fp tree in data mining, data mining, fp growth algorithm, fp growth algorithm example, fp growth algorithm in data mining, fp growth algorithm in data mining example, fp growth algorithm in data mining examples ppt, fp growth algorithm in data mining in hindi, fp growth algorithm in r, fp growth english, fp growth example, fp growth example in data mining, fp growth frequent itemset, fp growth in data mining, fp growth step by step, fp growth tree
Views: 101811 Well Academy
FP Growth | FP Growth Algorithm | FP Growth Algorithm Example | Data Mining
 
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Views: 1674 Learning With Mahamud
FP Growth Algorithm Example for Association Rule Mining
 
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Frequent Pattern Growth algorithm is a tree based algorithm used for Association Rule Mining. It transforms the transactional database to a tree, which is used for mining frequent patterns. The frequent patterns grow as we traverse the tree deeper. It is better than apriori algorithm because database is read only once for creating FP Tree and then the tree is subsequently used to recursively create conditional FP trees to mine it. Note to viewer: if you already know FP tree creation, you can start watching this video from 20 minutes.
Views: 43231 Moh'd Shakeb Baig
Fp Growth Algorithm
 
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Assalamualaikum. This is explanation for the Fp-Growth algortihm. Hope you benefit from this video. Please like and share. Jazakallahu khairun
Views: 42909 Imtiyazuddin Shaik
Syllabus data mining
 
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Views: 143 David Jiang
decision tree example(ID3)
 
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Download this sum PDF from link below http://britsol.blogspot.in/2017/10/decision-tree-algorithm-pdf.html?m=1 book name: techmax publications datawarehousing and mining by arti deshpande n pallavi halarnkar
Views: 54791 fun 2 code
knn (k nearest neighbor) algorithm in data mining
 
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k nearest neighbour algorithm in data mining belongs to the supervised learning domain and finds intense application in pattern recognition, data mining and intrusion detection https://www.geeksforgeeks.org/k-nearest-neighbours/ BOOK NAME : techmax publications datawarehousing and mining by arti deshpande n pallavi halarnkar $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ ALL DATA MINING ALGORITHM VIDEOS ARE BELOW : https://www.youtube.com/watch?v=JZepOmvB514&list=PLNmFIlsXKJMmekmO4Gh6ZBZUVZp24ltEr $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ PDF OF KNN ALGORITHM EXAMPLE IS AT BELOW LINK https://britsol.blogspot.in/2017/12/knn-k-nearest-neighbor-algorithm.html $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ EXAMPLES OF APRIORI ALGORITHM ARE AT BELOW LINK http://britsol.blogspot.in/2017/08/apriori-algorithm-example.html $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ DECISION TREE BASIC EXAMPLE PDF AND VIDEO ARE BELOW : VIDEO : https://www.youtube.com/watch?v=ajG5Yq1myMg&list=PLNmFIlsXKJMmekmO4Gh6ZBZUVZp24ltEr&index=2 PDF : http://britsol.blogspot.in/2017/10/decision-tree-algorithm-pdf.html $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
Views: 2306 fun 2 code
Data Mining  Association Rule - Basic Concepts
 
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short introduction on Association Rule with definition & Example, are explained. Association rules are if/then statements used to find relationship between unrelated data in information repository or relational database. Parts of Association rule is explained with 2 measurements support and confidence. types of association rule such as single dimensional Association Rule,Multi dimensional Association rules and Hybrid Association rules are explained with Examples. Names of Association rule algorithm and fields where association rule is used is also mentioned.
Introduction to data mining and architecture  in hindi
 
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Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 if you have any query email us at [email protected] or [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 154771 Last moment tuitions
Last Minute Tutorials | Apriori algorithm | Association Rule Mining
 
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NOTES:- Theory of computation : https://viden.io/knowledge/theory-of-computation?utm_campaign=creator_campaign&utm_medium=referral&utm_source=youtube&utm_term=last-minute-tutorials-1 DAA(all topics are included in this link) : https://viden.io/knowledge/design-and-analysis-of-algorithms-topic-wise-ada?utm_campaign=creator_campaign&utm_medium=referral&utm_source=youtube&utm_term=last-minute-tutorials-1 Advanced DBMS : https://viden.io/knowledge/advanced-dbms?utm_campaign=creator_campaign&utm_medium=referral&utm_source=youtube&utm_term=last-minute-tutorials-1 for QM method-https://viden.io/knowledge/quine-mccluskey-method-qm-method?utm_campaign=creator_campaign&utm_medium=referral&utm_source=youtube&utm_term=last-minute-tutorials-1 K-MAPS : https://viden.io/knowledge/k-maps-karnaugh-map?utm_campaign=creator_campaign&utm_medium=referral&utm_source=youtube&utm_term=last-minute-tutorials-1 Basics of logic gates : https://viden.io/knowledge/basics-of-logic-gates-and-more?utm_campaign=creator_campaign&utm_medium=referral&utm_source=youtube&utm_term=last-minute-tutorials-1 Website: https://lmtutorials.com/ Facebook: https://www.facebook.com/Last-Minute-Tutorials-862868223868621/ For any queries or suggestions, kindly mail at: [email protected]
Views: 55850 Last Minute Tutorials
K mean clustering algorithm with solve example
 
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Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 if you have any query email us at [email protected] or [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 257611 Last moment tuitions
IT446  _ Apriori Algorithm
 
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شرح مبسط وسريع لـ أ. حامد
Views: 8136 mokafeha seu
Lecture - 34 Data Mining and Knowledge Discovery
 
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Lecture Series on Database Management System by Dr. S. Srinath,IIIT Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 133239 nptelhrd
apriori algorithm (data mining)
 
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********************************************* visit below link for examples http://britsol.blogspot.in/2017/08/apriori-algorithm-example.html book name : techmax publications datawarehousing and mining by arti deshpande n pallavi halarnkar ******************************************** MORE DATA MINING ALGORITHM PLAYLIST IS ON BELOW LINK: https://www.youtube.com/watch?v=JZepOmvB514&list=PLNmFIlsXKJMmekmO4Gh6ZBZUVZp24ltEr
Views: 90177 fun 2 code
RapidMiner Tutorial (part 9/9) Association Rules
 
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This tutorial starts with introduction of Dataset. All aspects of dataset are discussed. Then basic working of RapidMiner is discussed. Once the viewer is acquainted with the knowledge of dataset and basic working of RapidMiner, following operations are performed on the dataset. K-NN Classification Naïve Bayes Classification Decision Tree Association Rules
Views: 29302 RapidMinerTutorial
More Data Mining with Weka (3.4: Learning association rules)
 
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More Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 4: Learning association rules http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/nK6fTv https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 12439 WekaMOOC
Association Rule Mining in R
 
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This video is using Titanic data file that's embedded in R (see here: https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/Titanic.html). You can find both the data and the code here: https://github.com/A01203249/YouTube-Videos.git. Use git clone to clone this repo locally and use the code.
Views: 46049 Ani Aghababyan
Introduction to Datawarehouse in hindi | Data warehouse and data mining Lectures
 
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#datawarehouse #datamining #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 if you have any query email us at [email protected] or [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 222480 Last moment tuitions
The Apriori Algorithm ... How The Apriori Algorithm Works
 
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My web page: www.imperial.ac.uk/people/n.sadawi
Views: 157707 Noureddin Sadawi
Apriori Algorithm
 
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Data Warehouse and Mining For more: http://www.anuradhabhatia.com
Views: 11483 Anuradha Bhatia
Data Mining: How to use the  Search Form
 
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PDF-4+ USER’S MEETING Denver X-ray Conference 64th Annual Conference on Applications of X-ray Analysis Sponsored by the International Centre for Diffraction Data Speaker: Justin Blanton Manager of Engineering and Design
Views: 74 ICDD
Advanced Data Mining with Weka (5.2: Building models)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 2: Building models http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/7XXl63 https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 2033 WekaMOOC
Advanced Data Mining with Weka (4.2: Installing with Apache Spark)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 2: Installing with Apache Spark http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/msswhT https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 2300 WekaMOOC
Advanced Data Mining with Weka (1.5: Lag creation, and overlay data)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 5: Lag creation, and overlay data http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/JyCK84 https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 2498 WekaMOOC
KDD ( knowledge data discovery )  in data mining in hindi
 
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Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 if you have any query email us at [email protected] or [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 54024 Last moment tuitions
Advanced Data Mining with Weka (2.1: Incremental classifiers in Weka)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 1: Incremental classifiers in Weka http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/4vZhuc https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 2948 WekaMOOC
Data Mining with Weka (3.1: Simplicity first!)
 
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Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 1: Simplicity first! http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/1LRgAI https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 28187 WekaMOOC
OLAP vs OLTP in hindi
 
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Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 if you have any query email us at [email protected] or [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 91559 Last moment tuitions
Growth Algorithm - Initial Sketch for DevArt Google
 
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Initial sketch for DevArt first post, basis to explore growth mechanism. Quick mplementation of leaf venation growth algorithm based on this paper - http://algorithmicbotany.org/papers/venation.sig2005.pdf
Views: 1857 Kwok Pan Fung
INTRODUCTION TO DATA MINING IN HINDI
 
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Buy Software engineering books(affiliate): Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2whY4Ke Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2wfEONg Software Engineering: A Practitioner's Approach (India) by McGraw-Hill Higher Education https://amzn.to/2PHiLqY Software Engineering by Pearson Education https://amzn.to/2wi2v7T Software Engineering: Principles and Practices by Oxford https://amzn.to/2PHiUL2 ------------------------------- find relevant notes at-https://viden.io/
Views: 101542 LearnEveryone
Generating Association Rules from Frequent Itemsets
 
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My web page: www.imperial.ac.uk/people/n.sadawi
Views: 66649 Noureddin Sadawi
Tree based texture matching
 
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Project for Memorial University's ENGI9805 - Computer Vision Daniel Cook, Jordan Smith, based on "Texture Classification Using an Invariant Texture Representation and a Tree Matching Kernel“ by Somkid Soottitantawat and Surapong Auwatanamongkol IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 1, January 2011 ISSN (Online): 1694-0814 http://ijcsi.org/papers/IJCSI-8-1-99-106.pdf
Views: 73 Lazerdrop
An Efficient Algorithm For Mining Frequent Closed Itemsets
 
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Done By: G Vishal Kumar Abhishek Sharma G Srinivas P Chaitanya Chandra Dev
Views: 2102 Vishal Gampa
الـ Data Mining | #عتاد_صلب
 
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في هذه الحلفة نتحدث عن Data Mining وكيف تعمل وماهي خطوات عملها ؟ شُكر خاص لـ فراس الطويل - عتاد صلب ، نُثري المحتوى العربي في مجال الهاردوير خصوصاً والحاسب بشكل عام. _ عبدالرحمن البلوي https://twitter.com/@abdulrhmanb - https://twitter.com/3tad_slb http://www.facebook.com/3tad.Slb - مراجع https://en.wikipedia.org/wiki/Data_mining#cite_note-Fayyad-4 https://en.wikipedia.org/wiki/Data_pre-processing http://www.anderson.ucla.edu/faculty/jason.frand/teacher/technologies/palace/datamining.htm https://www.youtube.com/watch?v=W44q6qszdqY&t=4s https://www.tutorialspoint.com/data_mining/dm_knowledge_discovery.htm http://www.kdnuggets.com/2016/01/businesses-need-one-million-data-scientists-2018.html https://www2.deloitte.com/content/dam/html/us/analytics-trends/2016-analytics-trends/pdf/analytics-trends.pdf - تواصل معنا على : [email protected]
Views: 5361 عتاد صلب
分布式机器学习系列讲座 - 01 Infrequent Pattern Mining using MapReduce
 
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The deck is at http://cxwangyi.github.io/distributed-machine-learning/01-pfp.pdf.
Views: 1665 Tech Meetup
Redacting Information with Patterns from a PDF for Attorneys (Video 3 of 5)
 
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In this video, Stacey Ivol from IFTS reviews how to redact information from a pdf that follows a certain pattern. By default, you can search for dates, phone numbers, credit card numbers, SSNs or emails in Adobe. You can also add your own pattern to look for via the XML file that Adobe stores these patterns in.
Understanding Apriori Algorithm | Apriori Algorithm Using Mahout | Edureka
 
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Watch Sample Class Recording: http://www.edureka.co/mahout?utm_source=youtube&utm_medium=referral&utm_campaign=apriori-algo Apriori is an algorithm for frequent item set mining and association rule learning over transactional databases. It proceeds by identifying the frequent individual items in the database and extending them to larger and larger item sets as long as those item sets appear sufficiently often in the database. The frequent item sets determined by Apriori can be used to determine association rules which highlight general trends in the database: this has applications in domains such as market basket analysis. This video gives you a brief insight of Apriori algorithm. Related Blogs: http://www.edureka.co/blog/introduction-to-clustering-in-mahout/?utm_source=youtube&utm_medium=referral&utm_campaign=apriori-algo http://www.edureka.co/blog/k-means-clustering/?utm_source=youtube&utm_medium=referral&utm_campaign=apriori-algo Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world. The topics related to ‘Apriori Algorithm’ have extensively been covered in our course ‘Machine Learning with Mahout’. For more information, please write back to us at [email protected] Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
Views: 13913 edureka!
Bining Algorithm
 
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Binning Algorithm is a very useful for handling the noisy data. Binning algorithm is in C#.net using windows application.
Views: 51 Umar Hayat
9/30/14 Book Mining
 
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Have you ever thought of reading like archeology?
AIS Based Algorithm for Path Finding in Maze
 
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Artificial Immune System Based Algorithm for Path Finding in Maze. By: Haseeb Ahmad MS Mechatronics and Control Engineer University of Engineering and Technology Lahore (email: [email protected])
Views: 1026 Haseeb Ahmad
Thresholding and subtraction
 
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This video shows an implementation of thresholding and subtraction in Matlab. Source code and more information in: http://laid.delanover.com/image-processing-thresholding-and-subtracting/
neural network  kmeans algorithm  arabic
 
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please try to write the code yourself to learn it, not copy paste and here is the link just if you need any help https://github.com/MohamedA-M-Hassan/k-mean-algorithem
Views: 132 Mohamed A M-Hassan
BIGAP - Seamless Handover in High Performance Enterprise IEEE 802.11 Networks
 
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Enterprise IEEE 802.11 networks need to provide high network performance to operate a large number of diverse clients like laptops, smartphones and tablets as well as capacity hungry and delay sensitive novel applications like mobile HD video & cloud storage efficiently. Moreover, such devices and applications require much better mobility support and higher QoS/QoE. Existing solutions can either provide high network performance or seamless mobility but not both. We present BIGAP, a novel architecture achieving both of the above goals. The former is achieved by assigning different channels to co-located APs in order to fully utilize the available radio spectrum. The latter is achieved by providing a mechanism for below MAC-layer handover through exploiting the Dynamic Frequency Selection capability in 802.11. In essence BIGAP forces clients to change AP whilst they ’believe’ they are simply changing channel. BIGAP is fully compatible with 802.11 and requires no modifications to the wireless clients. Testbed results demonstrate a significant improvement in terms of network outage duration (which is 32x smaller as compared to state-of-the-art solutions) and negligible throughput degradation during handover operation. In this way frequent and seamless handover operations can take place thus supporting both seamless mobility and efficient load balancing. A presentation of the BigAP solution can be found here: http://www.tkn.tu-berlin.de/fileadmin/fg112/projects/pdf_projects/BIGAP_talk_noms.pdf A BigAP poster is here: http://www.tkn.tu-berlin.de/fileadmin/fg112/projects/pdf_projects/bigap_poster.pdf Full paper: http://www.tkn.tu-berlin.de/fileadmin/fg112/Papers/2016/Zubow16bigap_seamless_handover.pdf
Views: 1304 tknlab

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