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Updates found with 'internetofthings technologies'

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Updates found with 'internetofthings technologies'

JAVA /DOT NET PROJECTS ABSTRACT 2016-2017 INVERTED LINEAR QUADTREE: EFFICIENT TOP K SPATIAL KEYWORD SEARCH ABSTRACT: In this paper, With advances in geo-positioning technologies and geo-location services, there are a rapidly growing amount of spatiotextual objects collected in many applications such as location based services and social networks, in which an object is described by its spatial location and a set of keywords (terms). Consequently, the study of spatial keyword search which explores both location and textual description of the objects has attracted great attention from the commercial organizations and research communities. In the paper, we study two fundamental problems in the spatial keyword queries: top k spatial keyword search (TOPK-SK), and batch top k spatial keyword search (BTOPK-SK). Given a set of spatio-textual objects, a query location and a set of query keywords, the TOPK-SK retrieves the closest k objects each of which contains all keywords in the query. BTOPK-SK is the batch processing of sets of TOPK-SK queries. Based on the inverted index and the linear quadtree, we propose a novel index structure, called inverted linear quadtree (IL- Quadtree), which is carefully designed to exploit both spatial and keyword based pruning techniques to effectively reduce the search space. An efficient algorithm is then developed to tackle top k spatial keyword search. To further enhance the filtering capability of the signature of linear quadtree, we propose a partition based method. In addition, to deal with BTOPK-SK, we design a new computing paradigm which partition the queries into groups based on both spatial proximity and the textual relevance between queries. We show that the IL-Quad tree technique can also efficiently support BTOPK-SK. Comprehensive experiments on real and synthetic data clearly demonstrate the efficiency of our methods.EXISTING SYSTEMS: The Existing Techniques for the problem of TOPK-SK query as well as some other variants of top k spatial keyword search. Then other spatial keyword related queries are introduced. Considering the indexing scheme used in existing works, we classify the indexes into two categories, namely Keyword First Index and Spatial First Index. we describe the shortcomings of the existing indexing approaches. the system throughout is poor if a large number of queries are processed one by one. Motivated by this, a large body of existing work have been devoted to investigate how to improve the system throughout with the batch query processing techniques such that a large number of queries in the queue can be processed with a reasonable delay.PROPOSED SYSTEMS: we propose a novel index structure, called inverted linear quadtree (IL- Quadtree), which is carefully designed to exploit both spatial and keyword based pruning techniques to effectively reduce the search space. An efficient algorithm is then developed to tackle top k spatial keyword search. the spatial keyword rank- ing query is proposed to rank objects based on a scoring function which considers the distance to the query location as well as the textual relevance to the query keywords. In the paper, we adopt the linear quadtree structure because the quadtree is more flexible in the sense that the index is adaptive to the distribution of the objects and we may prune the objects at high levels of the quadtree. Clearly, the new structure proposed satisfies the above-mentioned three important criteria of the spatial keyword indexing method.Advantages:An efficient algorithm is developed to support the top k spatial keyword search by taking advantage of the IL-Quadtree. We further propose a partition based method to enhance the effectiveness of the signature of linear quadtree.The main difference is that the construction of WIBR-tree takes advantage of the term frequencies of the keywords to facilitate the joint TOPK-SK queries.Disadvantages: In the GPS navigation system, a POI (point of interest) is a geographically anchored pushpin that someone may find useful or interesting, which is usually annotated with texture information (e.g., descriptions and users’ reviews). Moreover, in many social network services (e.g., Facebook, Flickr), a huge number of geo-tagged photographs are accu- mulated everyday, which can be geo-tagged by users, GPS- enabled smartphones or cameras with a built-in GPS receiver . These uploaded pho- tographs are usually associated with multiple text labels. As a result, in recent years various spatial keyword query models and techniquesHARDWARE REQUIREMENTS: Hardware - Pentium Speed - 1.1 GHz RAM - 1GB Hard Disk - 20 GB Floppy Drive - 1.44 MB Key Board - Standard Windows Keyboard Mouse - Two or Three Button Mouse Monitor - SVGASOFTWARE REQUIREMENTS: Operating System : Windows Technology : Java and J2EE Web Technologies : Html, JavaScript, CSS IDE : My Eclipse Web Server : Tomcat Tool kit : Android Phone Database : My SQL Java Version : J2SDK1.5 Conclusion: The problem of top k spatial keyword search is important due to the increasing amount of spatio-textual objects collected in a wide spectrum of applications. In the paper, we propose a novel index structure, namely IL-Quadtree, to organize the spatio-textual objects. An efficient algorithm is developed to support the top k spatial keyword search by taking advantage of the IL-Quadtree. We further propose a partition based method to enhance the effectiveness of the signature of linear quadtree. To facilitate a large amount of spatial keyword queries, we propose a BTOPK-SK algorithm as well as a query group algorithm to enhance the performance of the system. Our comprehensive experiments convincingly demonstrate the efficiency of our techniques.
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IEEE 2016 -2017 Embedded System Projects TitlesS.No Project Title Code1. Coexistence of ZigBee-Based WBAN and Wi-Fi for Health Telemonitoring Systems Wireless2. A Novel Wireless Multifunctional Electronic Current Transformer based on ZigBee-based Communication Wireless3. Configurable ZigBee-based control system for people with multiple disabilities in smart homes Wireless4. ZigBee network system for observing operating activities of work vehicles Wireless5. Interference-Mitigated ZigBee-Based Advanced Metering Infrastructure Wireless6. A Mobile ZigBee Module in a Traffic Control System ` Wireless7. Energy Efficient Outdoor Light Monitoring and Control Architecture Using Embedded System Wireless8. Low-power wearable ECG monitoring system for multiple-patient remote monitoring Wireless9. Energy-Efficient Intelligent Street Lighting System Using Traffic-Adaptive Control Wireless10. Development of a distributed disaster data and human life sign probe system Wireless11. Design and implementation of a home automation system for smart grid applications Wireless12. Milk products monitoring system with arm processor for early detection of microbial activity ARM13. Micro grid demonstration gateway for players communication and load monitoring and management Wireless14. WiFACT -- Wireless Fingerprinting Automated Continuous Training Wireless15. Lightweight Mashup Middleware for Coal Mine Safety Monitoring and Control Automation Wireless16. A smart wearable system for sudden infant death syndrome monitoring General17. Exoskeleton robots for upper-limb rehabilitation Robotics18. Wearable Camera- and Accelerometer-Based Fall Detection on Portable Devices GSM & GPS19. Innovation in Underwater Robots: Biologically Inspired Swimming Snake Robots Robotics20. GPS based autonomous vehicle navigation and control system GSM & GPS21. Real-Time Driving Monitor System: Combined Cloud Database with GPS IoT22. AgriSys: A smart and ubiquitous controlled-environment agriculture system IoT23. Building Smart Cities Applications using IoT andCloud-based Architectures IoT24. An IoT-based system for collision detection on guardrails IoT25. A vision-based teleoperation method for a robotic arm with 4 degrees of freedom Robotics26. Gesture control of drone using a motion controller Robotics27. Development of the Mobile Robot with a Robot Arm Robotics28. Milk products monitoring system with arm processor for early detection of microbial activity ARM29. Controller Area Network Assisted Grid Synchronization of a Microgrid With Renewable Energy Sources and Storage Electrical30. A Real-Time Embedded System for Monitoring of Cargo Vehicles, Using Controller Area Network (CAN) CAN31. Wireless biosensing network for drivers' health monitoring Biomedical32. Android4Auto: A proposal for integration of Android in vehicle infotainment systems Android33. A pulse measurement and data management system based on Arduino platform and Android device Android34. Remote control and instrumentation of Android devices Android35. “AUTOBOOK” The Messaging Machines (Using GSM and Arduino) Arduino36. Tracking and Theft Prevention System for Two Wheeler Using GSM and GPS GSM & GPS37. Bank Locker Security System Using RFID and GSM Technology GSM38. Design of Entrapment Escalation using GSM for Elevators GSM39. Distribution Line Fault Detection & GSM Module Based Fault Signaling System Electrical40. GSM & PIR Based Advanced Antitheft Security System Security 41. LPG Gas Weight and Leakage Detection System Using GSM GSM42. Android Based Women Tracking System Using GPS and GSM GSM & GPS43. Trespass Prevention System Using IOT IoT44. Automatic Vehicle Accident Detection and Rescue System GSM & GPS45. Design and Implementation of Integrated Mobile Operated Remote Vehicle IoT46. A Wearable Device for Continuous Detection and Screening of Epilepsy during Daily Life IoT47. Review of Automatic Detection and control of Disease for Grape Field Gen48. Environmental Condition Monitoring System for the Industries Gen49. Security Management Access Control System Gen50. Design and Development of Embedded based System for Monitoring Industrial and Environmental Parameters for Analyzing the Health of Human beings Gen51. Visual Surveillance Using Absolute Difference Motion Detection System Raspberry pi52. Automatic Irrigation System Using Internet of Things IoT53. Design of Embedded Irrigation System by Using WSN Wireless54. Vehicle Accident Prevention Using Assistant Braking System Gen55. Smart Transport Database Management System Gen56. Accident Alert Using ZIGBEE and GPS Wireless57. Controlling the Home Appliances Remotely Through Web Application Using ZIGBEE Wireless58. An optimized solar traffic control and alert system using wireless sensor networks Wireless59. Biometric Recognition Technique for ATM System Security60. Light Weight Access Control System for Constrained IOT Devices IoT61. Design of Prototype Model for Home Automation Using Wireless Sensor Networks Wireless62. Automated Sensor Network For Monitoring and Detection of Impurity In Drinking Water System General63. Automated Smart Trolley with Smart Billing Using Arduino Gene64. Embedded Automatic Vehicle Control System Using Voice Recognition On ARM 7 Processor ARM65. Embedded Voice Controlled Computer For Visually Impaired and Physically Disabled People Using Arm Processor ARM66. Implementation of Embedded Web Server Using TCP/IP Protocol with Raspberry PI Raspberry PI67. Designing of Cleaning Robot Robot68. An Analysis of Network-Based Control System Using Controller Area Network (CAN) Protocol CAN69. Identify the Deterioration in Pipe by Using Wheel Operated Robot Robot70. RFID -G Based Navigation System For Visually Impaired To Work at Industry Gen71. New Generation ATM Terminal Services NFC72. A Wireless Sensor Interface for the Quantification of Tremor Using Off the Shelf Components Wireless73. Design and Implementation of Low-Cost SMS Based Monitoring System of Distribution Transformers GSM74. An Integrated Cloud-Based Smart Home Management System with Community Hierarchy Automation75. Home Outlet and LED Array Lamp Controlled by a Smartphone with a Hand Gesture Recognition Gesture76. Low-power wearable ECG monitoring system for multiple-patient remote monitoring Bio-medical77. Smart Real-Time Healthcare Monitoring and Tracking System using GSM/GPS Technologies Bio-medical78. The Design of Building Fire Monitoring System Based on ZigBee-WiFi Networks Wireless
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IEEE 2016 -2017 BIG DATA ANDROID DOTNET JAVA TITLESBIG DATA1. FiDoop: Parallel Mining of Frequent Itemsets Using MapReduce.ss2. Self-Healing in Mobile Networks with Big Data.ANDROID1. An Exploration of Geographic Authentication Schemes.2. Intelligent Hands Free Speech based SMS System on Android.3. PassBYOP: Bring Your Own Picture for Securing Graphical Passwords.4. Privacy-Preserving Location Sharing Services for Social Networks.5. SBVLC: Secure Barcode-based Visible Light Communication for Smartphones.6. A Shoulder Surfing Resistant Graphical Authentication System.7. A Cloud-Based Smart-Parking System Based on Internet-of-Things Technologies.8. STAMP: Enabling Privacy-Preserving Location Proofs for Mobile Users.9. Understanding Smartphone Sensor and App Data for Enhancing the Security of Secret Questions..NET1. Attribute-based Access Control with Constant-size Ciphertext in Cloud Computing.2. Attribute-Based Data Sharing Scheme Revisited in Cloud Computing3. Catch You if You Misbehave: Ranked Keyword Search Results Verification in Cloud Computing4. CDStore: Toward Reliable, Secure, and Cost-Efficient Cloud Storage via Convergent Dispersal5. Cloud workflow scheduling with deadlines and time slot availability6. Dynamic and Public Auditing with Fair Arbitration for Cloud Data7. Dynamic Proofs of Retrievability for Coded Cloud Storage Systems8. Enabling Cloud Storage Auditing with Verifiable Outsourcing of Key Updates9. Identity-Based Encryption with Cloud Revocation Authority and Its Applications10. Identity-Based Proxy-Oriented Data Uploading and Remote Data Integrity Checking in Public Cloud11. MMBcloud-tree: Authenticated Index for Verifiable Cloud Service Selection12. Prioritization of Overflow Tasks to Improve Performance of Mobile Cloud13. Providing User Security Guarantees in Public Infrastructure Clouds14. Publicly Verifiable Inner Product Evaluation over Outsourced Data Streams under Multiple Keys15. Reversible Data Hiding in Encrypted Images by Reversible Image Transformation16. Searchable Attribute-Based Mechanism with Efficient Data Sharing for Secure Cloud Storage17. Secure Data Sharing in Cloud Computing Using Revocable-Storage Identity-Based Encryption18. Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps19. Shadow Attacks based on Password Reuses: A Quantitative Empirical Analysis20. A Performance Evaluation of Machine Learning-Based Streaming Spam Tweets DetectionJAVA1. A Locality Sensitive Low-Rank Model for Image Tag Completion2. A Shoulder Surfing Resistant Graphical Authentication System3. DeyPoS: Deduplicatable Dynamic Proof of Storage for Multi-User Environments4. Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search5. KSF-OABE: Outsourced Attribute-Based Encryption with Keyword Search Function for Cloud Storage6. Mining User-Aware Rare Sequential Topic Patterns in Document Streams7. Mitigating Cross-Site Scripting Attacks with a Content Security Policy8. Practical Approximate k Nearest Neighbor Queries with Location and Query Privacy9. Quality-Aware Subgraph Matching Over Inconsistent Probabilistic Graph Databases10. SecRBAC: Secure data in the Clouds11. Tag Based Image Search by Social Re-rankingCLOUD COMPUTING1. Cost Minimization for Rule Caching in Software Defined Networking.2. Performance Enhancement of High-Availability Seamless Redundancy (HSR) Networks Using OpenFlow.3. Data Plane and Control Architectures for 5G Transport Networks.4. HBD: Towards Efficient Reactive Rule Dispatching in Software-Defined Networks.5. SDN-based Application Framework for Wireless Sensor and Actor Networks.6. Geo-Social Distance-based Data Dissemination for Socially Aware Networking.7. An Open-Source Wireless Mesh Networking Module for Environmental Monitoring.8. Hybrid IP/SDN networking: open implementation and experiment management tools.9. Software-Defined Networking (SDN) and Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environments: A Survey, Some Research Issues, and Challenges.10. Cloud Computing-Based Forensic Analysis for Collaborative Network Security Management System.NETWORK SECUIRTY1. Collaborative Network Security in Multi-Tenant Data Center for Cloud Computing.DATA MINING1. Systematic Determination of Discrepancies Across Transient Stability Software Packages.2. Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine Learning.3. Teaching Network Security With IP Darkspace Data.4. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection.5. Mining High Utility Patterns in One Phase without Generating Candidates.6. An Improved String-Searching Algorithm and Its Application in Component Security Testing.
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JAVA PROJECTS ABSTRACT 2016-2017 A SHOULDER SURFING RESISTANT GRAPHICAL AUTHENTICATION SYSTEM ABSTRACT:Abstract :Authentication based on passwords is used largely in applications for computer security and privacy. However, human actions such as choosing bad passwords and inputting passwords in an insecure way are regarded as ”the weakest link” in the authentication chain. Rather than arbitrary alphanumeric strings, users tend to choose passwords either short or meaningful for easy memorization. With web applications and mobile apps piling up, people can access these applications anytime and anywhere with various devices. This evolution brings great convenience but also increases the probability of exposing passwords to shoulder surfing attacks. Attackers can observe directly or use external recording devices to collect users’ credentials. To overcome this problem, we proposed a novel authentication system PassMatrix, based on graphical passwords to resist shoulder surfing attacks. With a one-time valid login indicator and circulative horizontal and vertical bars covering the entire scope of pass-images, PassMatrix offers no hint for attackers to figure out or narrow down the password even they conduct multiple camera-based attacks. We also implemented a PassMatrix prototype on Android and carried out real user experiments to evaluate its memorability and usability. From the experimental result, the proposed system achieves better resistance to shoulder surfing attacks while maintaining usability. Existing Systems: In order to be more secure than the existing Android pattern password with entropy 18:57 bits against brute force attacks, users have to set two pass-images and use the graphical method to obtain the one-time login indicators. Like most of other graphical password authentication systems, PassMatrix is vulnerable to random guess attacks based on hot-spot analyzing. TEXTUAL passwords have been the most widely used authentication method for decades. Comprised of numbers and upper- and lower-case letters, textual passwords are considered strong enough to resist against brute force attacks. According to an article in Computer world, a security team at a large company ran a network password cracker and surprisingly cracked approximately 80% of the employees’ passwords within 30 seconds [3]. Textual passwords are often insecure due to the difficulty of maintaining strong ones.Proposed Systems: This evolution brings great convenience but also increases the probability of exposing passwords to shoulder surfing attacks. Attackers can observe directly or use external recording devices to collect users’ credentials. To overcome this problem, we proposed a novel authentication system PassMatrix, based on graphical passwords to resist shoulder surfing attacks. With a one-time valid login indicator and circulative horizontal and vertical bars covering the entire scope of pass-images, PassMatrix offers no hint for attackers to figure out or narrow down the password even they conduct multiple camera-based attacks. a lot of research on password authentication has been done in the literature. Among all of these proposed schemes, this paper focuses mainly on the graphical-based authentication systems. To keep this paper concise, we will give a brief review of the most related schemes that were mentioned in the previous section. The accuracy perspective focuses on the successful login rates in both sessions, including the practice logins. The usability perspective is measured by the amount of time users spent in each PassMatrix phase.Advantage:Two techniques are proposed to generate session passwords using text and colors which are resistant to shoulder surfing. The habitual movements and the preference of users that the attacker may take advantage of to figure out the potential passwords. 1) Any communication between the client device and the server is protected by SSL so that packets or information will not be eavesdropped or intercepted by attackers during transmission. 2) The server and the client devices in our authentication system are trustworthy. 3) The keyboard and the entire screen of mobile devices are difficult to protect, but a small area (around 1:5 cm2) is easy to be protected from malicious people who might shoulder surf passwords. 4) Users are able to register an account in a place that is safe from observers with bad intention or surveillance cameras that are not under proper management.SOFTWARE REQUIREMENTS: Operating System : Windows Technology : Java and J2EE Web Technologies : Html, JavaScript, CSS IDE : My Eclipse Web Server : Tomcat Network : LAN Database : My SQL Java Version : J2SDK1.5 HARDWARE REQUIREMENTS: Hardware : Pentium Speed : 1.1 GHz RAM : 1GB Hard Disk : 20 GB Floppy Drive : 1.44 MB Key Board : Standard Windows Keyboard Mouse : Two or Three Button Mouse Monitor : SVGAConclusion:With the increasing trend of web services and apps, users are able to access these applications anytime and anywhere with various devices. In order to protect users’ digital property, authentication is required every time they try to access their personal account and data. However, conducting theauthentication process in public might result in potential shoulder surfing attacks. Even a complicated password can be cracked easily through shoulder surfing. Using traditional textual passwords or PIN method, users need totype their passwords to authenticate themselves and thus these passwords can be revealed easily if someone peeks over shoulder or uses video recording devices such as cell phones.
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JAVA PROJECTS ABSTRACT 2016-2017 A CLOUD-BASED SMART-PARKING SYSTEM BASED ON INTERNET-OF-THINGS TECHNOLOGIES ABSTRACT: This paper introduces a novel algorithm that increases the efficiency of the current cloud-based smart-parking system and develops a network architecture based on the Internet-of-Things technology. This paper proposed a system that helps users automatically find a free parking space at the least cost based on new performance metrics to calculate the user parking cost by considering the distance and the total number of free places in each car park. This cost will be used to offer a solution of finding an available parking spaceupon a request by the user and a solution of suggesting a new car park if the current car park is full. The simulation results show that the algorithm helps improve the probability of successful parking and minimizes the user waiting time. We also successfully implemented the proposed system in the real world.Existing System: The current intelligent parking system does not provide an overall optimal solution in finding an available parking space, does not solve the problem of load balancing, does not provide economic benefit, and does not plan for vehicle-refusal service.Proposed System: To resolve the aforementioned problems and take advantage of the significant development in technology, the Internet-of-Things technology (IoT) has created a revolution in many fields in life as well as in smart-parking system (SPS) technology . The present study proposes and developsan effective cloud-based SPS solution based on the Internet of Things. Our system constructs each car park as an IoT network, distance between car parking areas and number of free slots in car park areas will be transferred to the data center.Conclusion: This study has proposed a parking system that improves performance by reducing the number of users that fail to find a parking space and minimizes the costs of moving to the parking space. Our proposed architecture and system has been successfully simulated and implemented in a real situation. The results show that our algorithm significantly reduces the average waiting time of users for parking. Our results closely agree with those of our proposed mathematical models. The simulation of our system achieved the optimal solution when most of the vehicles successfully found a free parking space. The average waiting time of each car park for service becomes minimal, and the total time of each vehicle in each car park is reduced. In our future study, we will consider the security aspects of our system as well as implement our proposed system in large scales in the real world.
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JAVA/DOT NET PROJECTS ABSTRACT 2016-2017 MINING USER-AWARE RARE SEQUENTIAL TOPIC PATTERNS IN DOCUMENT STREAMS ABSTRACT: Textual documents created and distributed on the Internet are ever changing in various forms. Most of existing works are devoted to topic modeling and the evolution of individual topics, while sequential relations of topics in successive documents published by a specific user are ignored. In this paper, in order to characterize and detect personalized and abnormal behaviors of Internet users, we propose Sequential Topic Patterns (STPs) and formulate the problem of mining User-aware Rare Sequential Topic Patterns (URSTPs) in document streams on the Internet. They are rare on the whole but relatively frequent for specific users, so can be applied in many real-life scenarios, such as real-time monitoring on abnormal user behaviors. We present a group of algorithms to solve this innovative mining problem through three phases: preprocessing to extract probabilistic topics and identify sessions for different users, generating all the STP candidates with (expected) support values for each user by pattern-growth, and selecting URSTPs by making user-aware rarity analysis on derived STPs. Experiments on both real (Twitter) and synthetic datasets show that our approach can indeed discover special users and interpretable URSTPs effectively and efficiently, which significantly reflect users’ characteristics.EXISTING SYSTEMS: Most of existing works are devoted to topic modeling and the evolution of individual topics, while sequential relations of topics in successive documents published by a specific user are ignored. Taking advantage of these extracted topics in document streams, most of existing works analyzed the evolution of individual topics to detect and predict social events as well as user behaviors. However, few researches paid attention to the correlations among different topics appearing in successive documents published by a specific user, so some hidden but significant information to reveal personalized behaviors has been neglected. And correspondingly, unsupervised mining algorithms for this kind of rare patterns need to be designed in a manner different from existing frequent pattern mining algorithms. Most of existing works on sequential pattern mining focused on frequent patterns, but for STPs, many infrequent ones are also interesting and should be discovered.PROPOSED SYSTEMS: In order to characterize and detect personalized and abnormal behaviors of Internet users, we propose Sequential Topic Patterns (STPs) and formulate the problem of mining User-aware Rare Sequential Topic Patterns (URSTPs) in document streams on the Internet. In order to characterize user behaviors in published document streams, we study on the correlations among topics extracted from these documents, especially the sequential relations, and specify them as Sequential Topic Patterns (STPs). Each of them records the complete and repeated behavior of a user when she is publishing a series. Topic mining in document collections has been extensively studied in the literature. Topic Detection and Tracking (TDT) task aimed to detect and track topics (events) in news streams with clustering-based techniques on keywords. The experiments conducted on both real (Twitter) and synthetic datasets demonstrate that the proposed approach is very effective and efficient in discovering special users as well as interesting and interpretable URSTPs from Internet document streams, which can well capture users’ personalized and abnormal behaviors and characteristics.ADVANATAGES: Taking advantage of these extracted topics in document streams, most of exist works analyzed the evolution of individual topics to detect and predict social events as well as user behaviors. In order to find significant STPs, a document stream should be divided into independent sessions in advance with the definition. A sketch map of session identification Each ellipse represents a session, and all the sessions in each line constitute a document subsequence for a specific user. we can conclude that the two algorithms have their respective advantages. Which one is appropriate for the real task reflects a trade-off between mining accuracy and execution speed, and should depend on the specific requirements of application scenarios.HARDWARE REQUIREMENTS: Hardware - Pentium Speed - 1.1 GHz RAM - 1GB Hard Disk - 20 GB Floppy Drive - 1.44 MB Key Board - Standard Windows Keyboard Mouse - Two or Three Button Mouse Monitor - SVGASOFTWARE REQUIREMENTS: Operating System : Windows Technology : Java and J2EE Web Technologies : Html, JavaScript, CSS IDE : My Eclipse Web Server : Tomcat Tool kit : Android Phone Database : My SQL Java Version : J2SDK1.5 CONCLUSION: Mining URSTPs in published document streams on the Internet is a significant and challenging problem. It formulates a new kind of complex event patterns based on document topics, and has wide potential application scenarios, such as real-time monitoring on abnormal behaviors of Internet users. In this paper, several new concepts and the mining problem are formally defined, and a group of algorithms are designed and combined to systematically solve this problem. The experiments conducted on both real (Twitter) and synthetic datasets demonstrate that the proposed approach is very effective and efficient in discovering special users as well as interesting and interpretable URSTPs from Internet document streams, which can well capture users’ personalized and abnormal behaviors and characteristics. As this paper puts forward an innovative research direction on Web data mining, much work can be built on it in the future.
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