Data Mining - Concepts and Techniques.

International Journal of Computer and Applications

Authors. in profile

Managing Enterprise Content: a Unified Content Strategy

Privacy preservation is important for machine learning and data mining, but measures designed to protect private information often result in a trade-off: reduced utility of the training samples. This paper introduces a privacy preserving approach that can be applied to decision tree learning, without concomitant loss of accuracy. It describes an approach to the preservation of the privacy of collected data samples in cases where information from the sample database has been partially lost. This approach converts the original sample data sets into a group of unreal data sets, from which the original samples cannot be reconstructed without the entire group of unreal data sets. Meanwhile, an accurate decision tree can be built directly from those unreal data sets. This novel approach can be applied directly to the data storage as soon as the first sample is collected. The approach is compatible with other privacy preserving approaches, such as cryptography, for extra protection.

Privacy Preserving Decision Tree Learning Using Unrealized Data Sets

The most burning topic of today, calls for a holistic solution that is reliable, secure, privacy preserved, cost effective Cloud storage that can tide over the turbulent conditions of the rapidly budding digital storage technologies. This send an outcry for a devoted solution, in the form of an individualized, patient-centric care - IoMT that augments precise disease identifications, decrease in errors, reduction in costs of care through the support of technology, allows patients to direct health information data to doctors,manage drugs, keep Personal Health Records, caters to remote medical supports Care, provides proactive approach to preserving Good Health, improves and Accelerates Clinician Workflows, empowers extreme connectivity due to better automation and perceptions in the DNA of IoMT functions. But IoMT adoption is like a rose with thorns like constraints of increased administrative costs, deficiency of universal data access, present-day electronic medical records. The BCT is used in the framework to overcome the security issues of IoMT through the use of latest encryptions. Furthermore, this framework harnesses the benefits of Block Chain like reduced cost, speed, automation, immutability, near-impossible loss of data, permanence, removal of intermediaries, decentralization of consensus, legitimate access to health data, data safekeeping, accrual-based imbursement mechanisms, and medical supply chain efficacy. The outcomes in this paper are (i)A systematic investigation of the current IoMT, Block Chain and Cloud Storage in Health Care;(ii) Explore the challenges and necessities for the confluence of Block Chain (BC), Internet of Medical Things (IoMT), Cloud Computing (CC);(iii)Formulate the requirements necessary for the real-time remote Health Care of one-to-one care structure, which, supports the vital functions that are critical to the Patient Centric Health Care;(iv) Design and develop a novel BC IoMT U6 HCS (Block Chain based Internet of Medical Things for Uninterrupted, Ubiquitous, User-friendly, Unflappable, Unblemished, Unlimited Health Care Services) Layered Architecture, to support the vital functions critical for Patient Centric Health Care and (v) Implement and test with the previous established and proven techniques. The integrity of the Layered Architecture is validated with the already existing ones in terms of audit performances. The results from the Layered Architecture are validated and are proven to be competent in achieving safe auditing and surpass the former ones. The technology is in the sprouting phases, it is perilous that affiliates of the Health Care community realize the rudimentary ideas behind Block Chain, and detect its feasible impact on the future of patient centric medical care. Finally, and most importantly, this paper also gives a panoramic view on the current research status, and imminent directions of Secure Internet of Medical Things Using Block Chain.

/pdf/block-chain-based-internet-of-medical-things-for-1xrh6dnvwd.pdf

Block Chain Based Internet of Medical Things for Uninterrupted, Ubiquitous, User-Friendly, Unflappable, Unblemished, Unlimited Health Care Services (BC IoMT U 6 HCS)

Privacy has in recent times become an astounding akin to an oxymoron. It can either be embellished or marred with technology; confiscating more consideration in many data mining applications. We are focusing on information safety measures in order to preserve the individual's privacy, so that no personal information can be gained by the hacker from the data. Under the modern state of affairs of technological developments which has eradicated the distinction of domain data kept in private and public; we are inadequate in expertise of protecting the individual privacy. With today's scenario of data strewn globally, the records get incremented from various sources, which further masquerade a greater confrontation. In this paper we propose a new technique called Cabalistic fortuity strategize based approach for Incremental data stream based PPDM. Our technique optimizes the privacy level by toughening the re-identification of original data without compromising the processing speed and data utility. Thus, it solves the re-identification predicament which is found in the conventional random projections. Here the encryption based random projection assigns secret keys to the positions of random matrix elements and not to the random numbers, (viz., where the random matrix is going to hold the random numbers). We have tackled two kinds of random sequences for generating the random sequences called determinist and indeterminist random sequences and encrypted it in a new way. And also we have proposed a projection based sketch for incremental data stream. We hope the proposed solution will tarmac way for investigation track and toil well according to the evaluation metrics including hiding effects, data utility, and time performance.

A pristine clean Cabalistic foruity strategize based approach for Incremental data stream privacy preserving data mining

The digital era has witnessed giant strides in the utilization of security systems, which perform certain pre-programmed tasks when a secured zone is breached. The prevailing traditional security systems have evolved embracing the cutting-edge technologies from time to time. The avalanche-like explosion of things and their connectivity through Internet have opened several new boulevards of exploration. The unification of security system based on the IoT platform has the potential of interrelating real time with the devices and makes them smart, with issues like privacy. To keep the issues in the bay, a new intrusion detection system is the need of the hour. Hence, a wireless intrusion detection smart security system is designed and developed to overcome the research gaps in the existing systems. The smart security system is built on the Internet of things. The system is a lightweight, low cost, extensible, flexible wireless IoT-based-smart security system which will permit the mobile devices and computers to remotely trail the happenings at the location, record the activities and save them in the prefixed cloud storage account. The system uses the hardware (things) to sense and fetch the data which is processed by the embedded software. On the occurrence of an abnormal activity (like breaching by an intruder), a valid signal is detected, and it sends signal to the board directing it to run the alert module. The alert module activates the GSM API to immediately alert the end-user by mobile. This system thus provides a wireless, incessant service to all the stakeholders by phone regarding the breaches occurring in the environment. This implemented smart security system using IoT with mobile assistance also integrates the various alarms, sends alert as pre-programmed, tracks the movements automatically, uses the state-of-the-art appropriate latest technologies to alert the concerned stakeholders and waits for actions to be taken.

Smart Security System Using IoT and Mobile Assistance

Learning automata and reservation based secure smart parking system: Methodology and simulation analysis

The data mining comprises of analysis of large data from various perspectives and obtaining summary of useful information. The information can be transferred into knowledge regarding future trends and history. Data mining has a very important role in the information technology domain. Huge amounts of complex data is generated by health care sector today. These data includes details about diseases, patients, diagnosis methods, electronic patients details hospitals resources etc,. The data mining methods are very helpful in making medicinal decisions in disease curing. The vast data collected by healthcare industry are not mined and hence information is hidden. And as a result the decision making is not effective. The knowledge discovered can be used by the healthcare administrators for enhancing the service quality. In this paper, a method for identifying frequency of diseases in particular geographical location for a given period of time using Apriori data mining technique based on association rules is proposed.

J. Gitanjali

Papers

Block Chain Based Internet of Medical Things for Uninterrupted, Ubiquitous, User-Friendly, Unflappable, Unblemished, Unlimited Health Care Services (BC IoMT U 6 HCS)

A pristine clean Cabalistic foruity strategize based approach for Incremental data stream privacy preserving data mining

Smart Security System Using IoT and Mobile Assistance

Learning automata and reservation based secure smart parking system: Methodology and simulation analysis

APRIORI algorithm based medical data mining for frequent disease identification