https://matjournals.in/index.php/JoDMM/issue/feedJournal of Data Mining and Management2019-07-29T04:27:49+0530Mr Chandan Raicontact@matjournals.comOpen Journal Systems<p>This Journal involves the basic principles of computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.</p><ul><li>Anomaly Detection (Outlier/Change/Deviation Detection)</li><li>Association Rule Learning (Dependency Modelling)</li><li>Clustering</li><li>Medical Data Mining: Machine Learning Algorithms</li><li>Knowledge Discovery in Databases</li><li>Geographic Information Systems (GIS)</li><li>Developing and Supporting Geographic Data Warehouses</li><li>Temporal Data Mining</li><li>Sensor Data Mining</li><li>Visual Data Mining</li><li>Surveillance</li><li>Pattern Mining</li><li>Knowledge Grid</li></ul>https://matjournals.in/index.php/JoDMM/article/view/3735Implementation Paper Modern and Smart Logistic Vehicle Using Tracking and Security2019-07-29T04:27:19+0530Mr. Shubham Metkarshubhammetkar2015@gmail.comMr. Shubham Dhumalshubhammetkar2015@gmail.comMr. Pradnya Kastureshubhammetkar2015@gmail.com<p><em>The logistic organization structure have climbed beginning late with the improvement of global positioning system (GPS), helpful correspondence movements, sensor and remote structures association advancements. The collaborations of the administrators system are fundamental as they can add to a few points of enthusiasm, for example, proposing right places for getting clients, developing pay of truck drivers, reducing holding up time, vehicle downpours and besides compelling fuel utilization and from this time forward broadening the measure of treks the drivers can perform. The rule motivation driving this structure would supply required vehicles that would be utilized to meet client requests through the arranging, control and utilization of the noteworthy headway and cutoff of related data and associations from beginning to objective. Customer brings to the table start to finish security to client and supplier information by utilizing QR code thought. Customer is proposition of closest best specialist relationship as shown by client intrigue and recognize spam master network. Joint efforts association suggests the commitment and association of plan and direct structures to control the improvement and land masterminding of foul materials, work-in-process, and completed inventories at the most unimportant all out expense. Composed endeavours solidifies the relationship of enthusiasm organizing, stock, transportation, and the mix of warehousing, materials managing, and packaging, all joined all through an arrangement of workplaces.</em></p>2019-05-01T08:05:05+0530Copyright (c) 2019 Journal of Data Mining and Managementhttps://matjournals.in/index.php/JoDMM/article/view/4021Arduino Based Motion Tracking Keyboard Using Machine Learning2019-07-29T04:27:20+0530Mr. Aditya Priyadarshiadityapriyadarshiex@gmail.comMr. Bharath Vadityapriyadarshiex@gmail.comMs. Aptha KSadityapriyadarshiex@gmail.comMr. Sanjit Sadityapriyadarshiex@gmail.comMs. Sahana Vadityapriyadarshiex@gmail.com<p><em>In spite of the emergence of various sensors and input devices, the current methods have not been able to provide an accurate recognition system for gestures. Recognition system such as the one in Kinect using machine learning algorithms shows some of the use cases for these gestures to newer system and domains. The one in our paper provides a far more accurate result along with faster computational speed as it uses the support vector machine (SVM) algorithm. This motion recognition system tracks motion made in mid-air by device in a 3D space, log its speed, angular velocity, distance covered and some other variables at real time, and in turn convert the device captured data of motion into characters of English alphabets. The device presented in this paper presents solution based on support vector algorithms and discusses about some concepts raised from the device.</em></p>2019-07-04T04:48:55+0530Copyright (c) 2019 Journal of Data Mining and Managementhttps://matjournals.in/index.php/JoDMM/article/view/4060Maximizing Resource Efficiency using Task Scheduling in Cloud2019-07-29T04:27:22+0530Ms. Harshitha Nharshitha8298@gmail.comMs. Devi Tharshitha8298@gmail.comMs. Harshitha Sharshitha8298@gmail.comMs. Vaishnavi Nharshitha8298@gmail.comMs. Kambalapalle Sravaniharshitha8298@gmail.com<p><em>Considering the growing use of cloud computing and the want for best use of resources within the cloud, and attention to users that get services they use supported their pay-as-you-go basis, there ought to be a faster approach for users to decrease the user's waiting time and task's waiting time. The main purpose of this paper is to provide comparison between various task scheduling algorithms hence gives better understanding as to which algorithms aids better in maximizing resource efficiency and also enhance security by giving various layers of security. There are many scheduling algorithms within the world. In this paper, we have selected a few better working algorithms along the traditional max-min and min-min algorithms and also the security is enhanced using ECC encryption.</em></p><p><em> </em></p>2019-07-06T11:51:25+0530Copyright (c) 2019 Journal of Data Mining and Managementhttps://matjournals.in/index.php/JoDMM/article/view/4081Data Analysis as an Online Tool2019-07-29T04:27:23+0530Mr. Akash Mehtasahana0393@gmail.comMr. Bhanu Dattasahana0393@gmail.comMr. Biswajit Sahasahana0393@gmail.comMs. Deepthi Viswanathansahana0393@gmail.comMs. Sahana M.Psahana0393@gmail.com<p><em>The emergence of Data analysis and Internet of Things (IOT) has now established a foundation for representing and storing data from domains ranging from smart devices to smart cities. The data collected using sensor from IOT has been made available to the public and has helped a huge number of consumers of data to utilize such data sets for several applications starting from scientific experimentation and modulation to improving commercial activity forbusinesses.Following this has resulted in the requirement for the developing data analysis tools that ease the use for customers and allocating the most constructive tools for a problemstatement.To this end, we attempt to introduce data analysis tool as a web service, which empowers the consumer to make a simple HTTP request for processing data over the internet. Hence, by developing such tools as a web service, we signify the prospective of such a system to support both the progressive and beginner level of data consumer. Further, this work provides an example of the suggested tool on data available publicly, extracted from the day to day trafficdata.Data analysis has reformed the collection of data from day to day real life activities, hence validating a bunch of new web technologies introduced to as smart objects toappear.These objects can be utilized to improve consumer’s experience when initiating an interaction with a service. Certainly, a fixed example of huge IoT systems with authorization to enormous quantities of budding useful Data for data consumers is smart cities with traffic analysis.</em></p>2019-07-15T09:29:05+0530Copyright (c) 2019 Journal of Data Mining and Managementhttps://matjournals.in/index.php/JoDMM/article/view/4170Recognition and Classification of Leaf Disease in Potato Plants2019-07-29T04:27:49+0530Mr. Sanjay K Hoysalasanjaykumar.hoysala@gmail.comMr. Santhosh K Ssanjaykumar.hoysala@gmail.comMr. Srihari D Rsanjaykumar.hoysala@gmail.comMr. Suhith Shekar Chandrasanjaykumar.hoysala@gmail.comMr. Ajay Prakash B Vsanjaykumar.hoysala@gmail.com<p class="Abstract"><em>Farming is one of the most important lifelines of the country. A nation’s growth majorly depends on how advanced and effective their agricultural practices are in improving the crop yield. When a crop is grown many at times, farmers are unable to identify the health and wellbeing of the plant; they only recognize the problems when it becomes too late hence losing out on that year's expected yield. In this study, we have introduced a recognition and classification technique which is able to detect any ailments that the plant is suffering from at an early stage itself thus enabling the farmers to do the needful at a recoverable stage itself. To make the system as user-friendly as possible, we have provided a feature where the farmers are able to assess the health of the plant by providing a picture of the potato plants’ leaf.</em></p>2019-07-29T04:26:55+0530Copyright (c) 2019 Journal of Data Mining and Management