[PDF] Top 20 A Machine Learning Based Approach for Mobile App Rating Manipulation Detection
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A Machine Learning Based Approach for Mobile App Rating Manipulation Detection
... any machine learning problems. But for abused app detection, it is more safe to assume a suspicious app as benign one than an abused ...an app as an abused one correctly) in ... See full document
21
MBotCS: A mobile botnet detection system based on machine learning
... proactive approach for detecting unknown mobile bot- nets that we have implemented for Android ...Our approach is based on the analysis of traffic data of Android mobile devices using ... See full document
18
Mobile Malware Detection using Anomaly Based Machine Learning Classifier Techniques
... of mobile and smart devices have led to a continuous increasing amount of Internet ...that mobile devices have a monthly increase in ...the mobile platform in 2012 (García- ...on mobile ... See full document
8
Rating Prediction based on Textual Review: Machine Learning Approach, Lexicon Approach and the Combined Approach
... is based on the training set of data containing ...spam detection, and the other is Support Vector Machine has also been used to classify texts such as progress ...for rating prediction ... See full document
7
Detecting the online romance scam: Recognising images used in fraudulent dating profiles
... KNN based Machine Learning Approach for Text and Document mining [54] Survey of review spam detection using machine learning techniques [55] Support vector machines and Word2vec for text[r] ... See full document
66
An Effective Approach for Clickbait Detection Based on Supervised Machine Learning Technique
... Typically such links will forward the visitor to a page that requires payment, registration, or lead a user to a site, which tries to sell user something or possibly extort user, by withholding the promised ... See full document
12
Optimise web browsing on heterogeneous mobile platforms:a machine learning based approach
... Web Browsing Optimisation. A number of techniques have been proposed to optimise web browsing, through e.g. prefetching [11] and caching [12] web contents, scheduling network requests [13], or re-constructing the web ... See full document
9
Automated Essay Scoring by Maximizing Human Machine Agreement
... a rating model by min- imizing either the classification, regression, or pairwise classification loss, depending on the learning algorithm ...and machine raters. To this end, we propose a rank- ... See full document
12
Machine Learning Based Technique for Detection of Rank Attack in RPL based Internet of Things Networks
... The Internet of Things (IoT) is a new technology which makes the computing ubiquitous [1]. The enabling technologies for Internet of Things is wireless sensor networks, cloud computing, mobile devices, etc. with ... See full document
5
An Improved Approach of Intention Discovery with Machine Learning for POMDP-based Dialogue Management
... The time complexity is calculated based on the programmatical implementation. The State Estimator tokenizes the words in a nested loop so that the tokens can be identified hence making a time complexity as O(n 2 ... See full document
156
A Cooperative Machine Learning Approach for Pedestrian Navigation in Indoor IoT
... fingerprinting approach [36], PDR with iBeacon [37], and PDR with UWB [43] are some possible hybrid ...the mobile phone’s acceleration, heading and Bluetooth RSS and detects similarity among subjects to ... See full document
20
Machine learning approach for detection of nonTor traffic
... Intrusion detection system is a software application or a device placed at strategic places on a network to monitor and detect anomalies in network traffic [12][13] as shown in Figure ...complementary ... See full document
6
Cloud Based Naive Bayes Classifier for Dynamic Design to Support Usability for Smart Homes Apps
... tasks. Machine learning such as Naïve Bayes now a day used for solving many significant issues for various fields of ...Our approach can support many patterns of behaviors that used for trigger and ... See full document
5
Machine Learning and Feature Selection Approach for Anomaly based Intrusion Detection: A Systematic Novice Approach
... Intrusion Detection System (NIDS) has become an imminent research area in network and information security due to the proliferation of the Internet and rapid increase in anomalous activities or ...anomaly ... See full document
10
Towards a Machine Learning Approach for Earnings Manipulation Detection
... variables. Learning through a BNC is divided into learning of the DAG structure of the network, and learning of the determination of its parameters through conditional probability tables (CPT) ... See full document
38
Machine Learning Approach For Spam Tweets Detection
... In this dissertation, System provides a fundamental evaluation of ML algorithms on the detection of streaming spam tweets. In this evaluation, system works on offline tweets and real time tweets which are timely ... See full document
8
A Real-Time Automatic Method for Target Locating Under Unknown Wall Characteristics in through -Wall Imaging
... through-wall detection problem in the presence of wall ambiguities, an approach based on kernel extreme learning machine (KELM) is proposed in this ...vector machine (SVM) and ... See full document
9
Detection of Intrusion Using Decision Tree Based Data Mining Technique
... intrusion detection and to address some specialized ...intrusion detection from a data distribution center point of view and incorporate data mining and on-line expository handling (OLAP) for intrusion ... See full document
7
Sentiment Detection, Recognition and Aspect Identification
... Sentiment analysis is the study of people’s opinions, attitudes, feelings, and emotions discuss any object such as entities, events, topics, product, issues, services, etc. are respected for extraction of useful ... See full document
8
Automated Malicious Android App Detection using Machine Learning Methods
... requesting app is signed by identical developer keys that signed the requesting package ...nothing approach, a user must accept all permissions requested by an application at installation, and choose the ... See full document
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